Tag: GSS Monthly

  • GIS In Action 2011 Conference

    I spent a day at the GIS In Action 2011 in Portland, OR this week. While it was a relatively small conference (~200 attendees), the former Governor of Wyoming and current Esri Director of Policy & Public Sector Strategy, Jim Geringer, was the keynote speaker who had a interesting perspective.

    The most interesting part of Mr. Geringer’s keynote was not really about GIS, at least not technically. He posed the question “If you had 10 minutes at the top, what would you talk about?”

    It’s an interesting question. What if you had your 10 minutes at the top? What would you talk about? The “top” may be your state Governor or it could be your organization’s IT department chief, Budget Director, or anyone else with little knowledge about GIS but who makes policy and/or budget decisions that affect your department’s GIS.

    Mr. Geringer, undoubtedly one who was on the receiving end of many of these 10 minute lightning talks, emphasized that you’ve got to make your talk relevant to something that is on that person’s list of current topics. Following is a slide that Mr. Geringer displayed when talking about this subject.

     

     

    For example, if there’s a severe drought in your state, it might be in the Governor’s Top 10 list of concerns. In that case, you might emphasize the importance of GIS in analyzing the water resource problem and how it might help develop solutions. Another example might be criminal activity in your city. If you were to have 10 minutes with your City Mayor, you could explain how GIS could be (or is) used to analyze trends in criminal activity so that crime-fighting resources might be more efficiently allocated.

    I think the Governor’s point well-taken. It’s very easy (I’m guilty of it as much as anyone) to get caught up in our own world of technology and forget how to explain to people outside of our geospatial industry how important geography is in most challenges we face.

    Another interesting subject the former governor discussing were the top 10 issues facing state government, from his perspective.

     

     

    His point is well-made that all of these issues have a geographic element to them.

    To emphasize the #1 issue facing U.S. state governments, he presented the following slide.

     

    And, of course, a conversation about GIS trends would not be complete without a discussion about the explosion of mobile devices.

     

     

    Another presentation I attended at the conference was one from Jon Aschenbach who discussed a snowboarding half-pipe mapping project on Mount Hood in Oregon.

    The problem was that the operator didn’t know exactly where to position the half-pipe during the fall before the snow fell. If they didn’t position it correctly, they would have to move it mid-season, due to lack of snow, at a cost of $10,000+.

     

    The elevation difference from the top of the half-pipe to the bottom of the half-pipe is nearly 1,000 feet.

     

     

    The crew collected topographic data when the snow was largely melted to understand the best placement for the half-pipe. If they place the half-pipe optimally, they will avoid rocks emerging in the late spring as the snow begins to melt and enjoy a longer season and avoid having to move the half-pipe.

     

    During the winter, the crew took measurements to understand the depth of the snow at certain locations on the half-pipe.

     

     

    One of the challenges was finding a solid surface to locate the GPS base station and also to optimize the range of the spread-spectrum RTK radios.

     

     

    According to the presentation, Mount Hood receives an average of 550 inches of snowfall each year. It’s high elevation helps retain snow into the summer. It’s a world-class area for skiing and snowboarding. Olympic snow ski and snowboard teams train at Mount Hood during the summer.

     

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Japanese Earthquake GIS and Locator Tools

    Our hearts go out to our Japanese friends in the aftermath of the devastating March 11 earthquake and tsunami. Following are some tools, GIS information, and other information related to the earthquake.

     

    Google Person Finder (click on image) – Google has released a Japanese-language Person Finder to help families and friends locate one another. According to the Person Finder tool, 329,000 people are registered in the database.

     

    Japan Earthquake Incident Map (click on image) – From Esri, this map pulls in social media related to the recent events in Japan. In the Social Media box, you can change the search term for YouTube and Flickr by hovering over the name of the feed, and then typing a new word into the displayed box.

     

    Japan Earthquake Crisis map from Google (click on image).

     

    American Geophysical Union blog post about the liquefaction from the March 11, 2011 Japan earthquake. “It shows liquefaction occurring in real time in Tokyo Central Park.  It is quite, quite remarkable.  Do watch beyond the first minute, when it appears that not much is happening – the real action starts about halfway through the recording”

     

    USGS March 11, 2011 Japan Earthquake Details (click on image)According to the U.S. Geological Survey, this was the fourth largest earthquake since 1900. The magnitude was updated to 9.0.

     

    USGS March 11, 2011 Japan Earthquake Shakemap (click on image).

    .

     

    NOAA Tsunami Observations from March 2011 Japan earthquake (click on image). This shows tsunami data as a result of the March 11 earthquake in Japan.

     

    Thanks, and see you next week.

     

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • As Data Collection Technology Advances, So Does BIM

    My fellow geospatial editor, Art Kalinski, wrote about BIM (building information modeling) earlier this week in the GeoIntelligence Insider newsletter. I’ve touched on the subject before. All too often we think of GIS as it relates to outdoor infrastructure: street maps, utility systems, parcel maps, timber harvesting, land management, environmental management, etc.

    Last summer at the Esri Surveying and Engineering Summit, I attended a talk presented by Stuart Rich, chief technology officer of Penobscot Bay Media, LLC. He presented on understanding, documenting, and building systems to support spatial data infrastructure’s security requirements as well as initiatives to move GIS inside the building footprint.

    He said he was involved in using terrestrial LiDAR inside buildings to collect massive amounts of data. So much, in fact, that “the value of measurement is trending very close to zero” using very high-volume data collection at 250,000 points/second.

    Stuart’s Factoid: Only 16% of cities are mapped, with a big vacuum being building interior maps in urban areas.

    He also discussed the lack of attention to underground infrastructure mapping.

    Another example of BIM detail, as provided in Art’s article, is a building wall which, in most GIS, if it exists at all, is a single polyline, maybe two polylines in rare cases. Thinking in a GIS sort of way, a building wall ”could contain more than six layers of data: paint, drywall, framing, blocking, fire stops, insulation, etc.” Think about this for a minute. Imagine how the quality of decisions would improve if the building owner was considering renovating his building and had this sort of information and software tools available. The decisions about which walls to leave or take down and future layout, for instance, would likely change if this information was readily available.

    Honestly, for building design, and most kinds of design for that matter, CAD isn’t the right tool if you think about it. It doesn’t have the database or analysis tools behind the various points, lines, and polygons to make the best decisions. This is the foundation of the GeoDesign concept being promoted these days.

    Although I didn’t set out to write about GeoDesign, it’s very fitting. According to Wikipedia, “GeoDesign brings geographic analysis into the design process, where initial design sketches are instantly vetted for suitability against a myriad of database layers describing a variety of physical and social factors for the spatial extent of the project. This on-the-fly suitability analysis provides a framework for design, giving land-use planners, engineers, transportation planners, and others involved with design the tools to leverage geographic information within their design workflows.”

    Of course, as Stuart mentions and as I’ve written about before, a highly related topic is underground infrastructure (sewer, water, electric, gas, telecom). That’s a whole other subject and one that I’m close to as I spend quite a bit of time working with landscape architects who deal with underground infrstructure on a daily basis in their projects. For them, as opposed to “what’s inside the wall,” a landscape architect has to ask “what’s under the ground.” If he or she doesn’t know until the construction crew starts tearing down and digging, then the project risk increases substantially.

    A good example and story I read this week was a short interview that Directions magazine published about the San Bruno gas pipeline explosion which killed nine people. You can read the interview here. Essentially, it’s a lesson in spatial data management with respect to underground infrastructure, with spatial data accuracy being the primary theme.

    Data, Data, Data

    In the world of real estate, it is said the three most important features of real-estate property are location, location, and location. I think you can say that the three most important feature of a GIS are data, data, and data. It’s not the software tools we are lacking, it’s the data. That’s why revenue from GIS data over the past eight years has grown at a compound annual growth rate (CAGR) of ~15 percent, while GIS software has grown considerably less, according to research firm Daratech, Inc.

    Where Is the Data Coming From?

    Data collection technology is changing rapidly. Look at two key sources of geospatial data: remote sensing and GPS. Remote sensining, in particular, is well-suited for building interior data collection.

    At the same Esri Surveying and Engineering conference I mentioned above, Lawrie Jordan, director of Imagery at Esri, said that this is the most exciting time to be involved in imagery during his 40-year career.

    Commercial satellite imagery quality and availability is the best it’s ever been. It wasn’t that long ago that three-year-old, one-meter-pixel resolution, black/white imagery was the norm. Today, GeoEyeDigitalGlobeRapidEye, and Spot Image are delivering an amazing amount of digital imagery at even more amazing resolutions. Jordan stated that in less than five years, every square inch of the Earth will be imaged (by satellites) constantly. He said we are already half-way there.

    Another form of remote sensing that’s busting at the seams is 3D scanning (terrestrial LiDAR). We’ve seen a lot of development in 3D scanning over the past 10 years. The equipment used to be pretty expensive, but the prices are coming down as the technology gains acceptance. I recall using the technology a number of years ago (circa 2003). I was tasked with an accident reconstruction project. Part of the task was to create a 3D model of a wrecked automobile. Traditionally, one would use a surveying total station and measure shot-by-shot at key points on the automobile. Even measuring 1,000 points on the automobile wouldn’t result in enough data points to create a reasonable 3D model. We decided to use a 3D scanner. We were able to scan the automobile in under two hours and collect a tremendous amount of detailed data.

    The good news is that we had a tremendous amount of detailed data to work with. The bad news was the same, we had a tremendous amount of detailed data to work with. I think it took us four weeks to produce a deliverable from the data. However, keep in mind that this was nearly eight years ago and software tools have come a long way since then (Safe SoftwareLeica Geosystems, TrimbleTopcon, all have software tools for dealing with 3D scan data), so the process in producing a deliverable today is more efficient.

    I’ve written and said this many times over: geospatial data fuels the GIS software engine. Esri and other GIS software developers are making very powerful GIS engines. In fact, the GIS software engines far exceed the quality of the geoespatial data we have to work with. BIM is a great example of that. There’s a substantial lack of BIM data, but with 3D scanning and other geospatial data collection technology advancing rapidly today
    , that will change. GIS will move indoors.

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Three Big Ones in Five: Geospatial-style

    Three Cool Things in Geospatial

    Corning Glass

     

    After watching this video (5:33 in length), you may feel like buying stock in Corning Glass!

     

    How important are graphic displays to the geospatial professional? I’d say vital. I’m not sure about all the consumer glass stuff they show in the video, but it does show where glass technology is heading. I was at a municipal transportation advisory meeting last night and I can imagine a dual-purpose whiteboard/mointor in a city planner’s conference room where one could display the City GIS for detailed discussions instead of the dated, static maps taped up on the wall. The only question is cost. Given the cost reduction of large, high-resolution monitors in the past two years, Corning’s vision, at least for geospatial apps, may not be that far off.

     

    Augmented Reality

    Hmmm…do you see a trend here? Tablet computers, glass displays, augmented reality software.

    It’s pretty clear where things are heading. You can already see this on mobile phones today.

    A couple of weeks ago, I mentioned that I bought a Samsung Galaxy S (Epic 4G) phone. It’s screen is large enough (4″ display) that you can use it like a tablet computer. The touch screen display is such that I use it like you saw in the Corning video using Swype or similar technology.

    This week, Juniper Research concluded from their research that Augmented Reality will be a $1.5 billion business by 2015. They cited the availability of software development toolsdevice manufacturers decision to pre-load augmented reality apps on mobile devices, and trends in mobile device advertising as key drivers of augmented reality.

    I have not found a better one-minute video than the one below that exemplifies the beauty of augmented reality. It’s truly an example of technology integration as GPS and digital compass data are used to correctly position the mobile device.

     

    iPad 2

    Although it hasn’t panned out to be the geospatial tool it could have been, the iPad has given the tablet industry some mojo. It’s pure speculation on my part, but I think it’s safe to say that more tablets have been introduced in the past year than in the previous five years, thanks to the iPad.

    What does the the iPad 2 offer?

    33% thinner, 15% or so lighter, faster processor, front and rear cameras. Nice features, but it’s more of an update than an upgrade. Still no support for Bluetooth SPP (Serial Port Profile), so you still can’t interface it to external GPS receivers.

    iPad 2

     

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Three Reasons Why Social Media Works: New Zealand Earthquake Is a Perfect Example

    Location-based social media, whether it be Twitter or Ushahidi or Gowalla or Foursquare, works. The earthquake in New Zealand earlier this week is a perfect example of how it works and why location-based social media will become an integral part of our lives.

    There are many variations of location-based services (LBS). The one most folks pay attention to are the social networking type of apps:

    “Send me a text message when Bill is within a half mile of me.”

    “Have Starbucks send me a text message, a coupon, and its location when I’m within 2 km of a store.”

     

    Then there’s the family finder type of LBS apps:

    “Send me a text message when my child arrives at school.”

    “Send me a text message when my child ventures outside of my preset boundary.”

     

    Location-based social media is a bit different than both of the above. You can think of the LBS social media as giving everyone with the proper equipment (a smartphone) the opportunity to be a news correspondent. The “correspondent” can be “reporting” hard news (timely events) or feature stories (human interest). Mostly, the reports are covered in 140 characters or so (thanks Twitter).

    The power of location-based social media is that on-site news can be published in near real-time, much faster than a news bureau sending a news correspondent to the scene.

    Consider the New Zealand earthquake earlier this week.

    Esri has developed an incident response map tool for collecting and displaying social media content for events like the earthquake.

    The New Zealand Incident Map shown below (click on it for an interactive map) was a joint effort of a local government entity (Environment Canterbury) and the local Esri distributor (Eagle Technology Group).

    Earthquake in Canterbury/Christchurch, New Zealand

     

    As you can see on the map, it includes content from Ushahidi, Youtube, Twitter, and Flickr.

    If you haven’t heard about Ushahidi, you should know that it is a non-profit technology company voted by MIT’s Technology Review as one of the 50 Most Innovative Companies for 2011. According to its website, Ushahidi’s “roots are in the collaboration of Kenyan citizen journalists during a time of crisis. The original website was used to map incidents of violence and peace efforts throughout the country based on reports submitted via the web and mobile phones. This website had 45,000 users in Kenya, and was the catalyst for us realizing there was a need for a platform based on it, which could be used by others around the world.”

    Youtube is an efficient way to share video footage over the web.

    Twitter is, according to its website, “a real-time information network that connects you to the latest information about what you find interesting. Simply find the public streams you find most compelling and follow the conversations. At the heart of Twitter are small bursts of information called Tweets. Each Tweet is 140 characters in length.” I call Twitter “the text message to everyone,” at least everyone who has chosen to receive your Tweets.

    Flickr is an efficient way to share photos over the web.

    By compiling data in near real-time from these four technologies, as well as the basemap information (OpenStreetMap or some other source), an amazing amount of useful information can be shared. Think about it — even with a little known technology such as this, click on some of the several hundred content entries and one can instantly see the value. The content search name for each provider has a default name. For example, the search term used to pull content for the New Zealand earthquake from Youtube is “christchurch earthquake”.

    Some example Ushahidi content obtained by clicking on Ushahidi symbols on the map:

    ———————-

    Shops collapsed on corner of Lichfield and High Street, possibly trapped people.

    On the corner of Lichfield & High streets, a block of shops collapsed — rescue svs believe 4-5 people are trapped in the rubble.

    Date Published: 2011-02-21 21:53:00

    Category: Building damage – red

    ———————

    Fitzgerald Bridge by Kilmore Terrace impassable.

    Route around is not usable.

    Date Published: 2011-02-23 13:55:00

    Category: Road damage

    ———————

    BNZ ATM Riccarton Mall

    Working ATM as at 10:49 p.m., 22 Feb – Division St, Riccarton

    Date Published: 2011-02-22 22:47:00

    Category: ATM/Money centre

    ——————–

    Such citizen reporting is enabled by three technologies; smartphones, social media apps, and GIS (including app software and basemaps). The first two are relatively new technologies and are being adopted at a very fast pace, so I would expect that crises like the recent flooding, political unrest, earthquakes, and other large-scale crises will never be reported the same in the future. Smartphones have empowered people with the ability to share an unprecedented amount of information.

    This Just In

    Following is another current event where information is being shared via citizen reporting. Note the date on the posts. This is as near real-time as you’ll get:

    Unrest in the Middle East

     

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Confessions of a Public GIS Manager: Does IT Outsourcing Really Save Money?

    In following up on my example of a simple GIS app for entering and displaying lat/lon coordinates from a spreadsheet (or text file), the discussion went from cloud to client and then back to cloud. The reason may surprise you. Recall that I was looking for the best solution for a reader who was looking for a simple GIS app to display gobs lat/lon coordinates.

    My first inclination was to use an online app (cloud) such as arcgis.com or Google Earth in order to stay away from the users needing to install and maintain software on their local desktop computers. No go. The functionality just wasn’t there. All along, my backup plan was to use a client app like ArcGIS Explorer. Well, after messing around a little and consulting with an online discussion group, that’s the route I went. I wrote about it last week.

    Subsequently, a GIS manager from a public department (state level), wrote about his experience with client-based apps and his challenges with IT outsourcing. It really make one reconsider the cost effectiveness and efficiency of IT outsourcing. His perspective makes interesting reading:

     


    We didn’t go the ArcGIS Explorer route primarily because of the current war (GIS vs. IT) which scientific computing is losing badly at this point in time. Our State and many others are neck deep in smelly muck created by business computing’s IT consolidation and outsourcing.  I just got back from a meeting where I heard another round of horror stories from VA.

    For more than five years, our WAN-based users at regional offices throughout the state have ran GIS via Citrix with customized ArcGIS desktop apps written entirely in-house by our staff in VB and .Net.  We elected that strategy because at that time it was really the only serious option to allow access to the large amounts of data we had in our geospatial archive here at our headquarters. It was also attractive because back then we controlled our infrastructure and our LAN and were highly influential in WAN decisions because we had a very advanced computing environment here.

    Then came IT consolidation and the predictable downgrading of advanced Agency’s capacity so we’d be able to open really big word processing documents on our desktops. By that, I mean scientific computing like GIS, Remote Sensing, etc. apps were not considered seriously in that process even though we need to operate much closer to DoD or NGA-like computing capacity compared to the average accountant. After multiple attempts to modernize our Citrix and SAN, resources were turned down and we decided we’d better switch to a new approach.

    Because we’re charged serious bucks every time we put in a service call to have ArcGIS Explorer installed on an existing or new PC, we elected to go as thin client as possible. Everyone has a browser and we don’t have to pay to have that installed.  We initially developed some betas using ESRI’s JavaScript solution but browser differences (both different versions of the same browser and Microsoft vs. Firefox on individual PCs just inside our unit) caused many applications development problems so we abandoned development with that API.

    That’s when we elected to do a very serious Flex vs. SilverLight comparison and the rest is history. The new beta has a rainfall widget we’re particularly proud of. It grew out of our active mining program staff having to respond to horrific flash flooding typical in spring and summer in our state. This new app will allow staff to go to the permitted sites to check stability of sediment control structures where the most rainfall (… based on Nexrad) was projected to have fallen for the first time this spring.

    In April this year we’ll find out if our jobs are going to be outsourced or whether our state will modernize internally. The refusal to allow Citrix and SAN improvements is a harbinger of the way that will go I believe. We have been presented with 4 SAGs in the last decade. I wonder what the total count will after the first decade of outsourcing?

    Many potential problems exist for geospatial programs because of IT consolidation and the more recent potential of outsourcing GIS. IT consol first. My unit does a great many very large (… and long) computing jobs. We routiinely move data from one projection or datum to another. When you deal with thousands of raster tiles, a reprojection project can take weeks to accomplish successfully. We also do spatial analysis projects that take even longer. We recently used Landsat scenes and higher resolution commercial satellite data plus aerials from multiple dates to do change analysis. That job took more than a month on beastly PCs we’ve built up specifically for these very tough jobs.

    [[Our]] ICI is an old DoD concept I pulled back into use. We built these platforms after about a year of total frustration having our big jobs crashed from IT pushes of OS upgrades happening in the middle of producing badly needed new deliverables, network disconnects dropping out our license checkout connectivity to a remote license manager on the WAN, etc. I’ve already mentioned the failure to consider geospatial in upgrading infrastructure and improving bandwidth.

    Even keeping your servers local can be a big battle in the war.  We have an older county size LiDAR dataset (pre-.las) processed and delivered as a point cloud. We have new LiDAR from the same county and we’re trying to do a comparison of the two datasets. Depending on what USGS quadrangles are selected it typically takes 30 to 40 minutes to load up four 1:24K quad size tiles of the older point cloud data via our LAN at fast Ethernet speed. Move that to a WAN situation and we need to start it loading in the evening so it’s ready by the following morning (but that won’t work because of the auto-shutdown software on all the desktops that executes every evening a 7PM). And then there’s the joke about the virus checking software pushed out to every desktop, configured all the same for everybody and auto executed and the twenty-one staff that mapped over five terrabytes of GIS datasets on the SAN and their very fast new computers (sarcasm) being brought to the approximate speed of molasses running up hill because the virus checking code never stopped trying to check all five TBs on each of the twenty-one PCs.  It wasn’t much of a joke when the whole Agency’s networking speed dropped to a crawl! Need I say more about one-size-fits-all IT mentality shooting off their own feet!

    Negative aspects of outsourcing geospatial jobs are obvious. No contractor is going to know the individual program requirements like in-house staff and that’s a challenge even for us. Good example … the rainfall widget on the new beta app I pointed you to wasn’t requested by our mining folks until we approached them with the idea that we might be able to do something like that. Would there have been that kind of insights by a big corporate consulting firm like IBM or HP? I think not.

    On the good side of IT consolidation, if geospatial folks are pulled together into a core group I think that gives folks the chance to work on a broader spectrum of tasks not limited by the bounds of what one state government Agency desires, but rather the state as a whole. That could be a good thing. Also, it gives Agencies with a GIS effort, consisting of one or two folks, access to experts they’d not be able to otherwise tap into (GIS DBAs, geospatial applications development gurus, etc.) and that definitely would be a very good thing. Of course that hasn’t happened here. On the good side, with outsourcing GIS jobs, I’m clueless as to how that could ever benefit anyone except the recipient of the contract. The horrible stories from colleagues give me night terrors.  PC refresh cycles of 5 years, horrendously expensive SAN storage rates, etc. You name it, &
    nbsp;the customer is hosed by it.

    There really is a business vs. scientific computing all-out war going on all around us and as I said initially, too many scientific computing types have their heads down doing the exciting stuff while the fight rages on, without them even knowing about it. If you can wake them up to the reality that business computing “experts” may very well be building a scientific computingless future in which they’ll have no place (or job), it would be greatly appreciated.


     

    I’ll be writing more about this. It’s a serious issue and it’s not going away, especially with the geospatial industry continuing to put up strong growth numbers.

     

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Quick & Dirty: Importing Coordinates into a Simple (and Free) Mapping Program

    It’s easy to jump ahead and talk about the exciting things happening today and on the horizon in the geospatial industry. Rich 3D visualizations, complex databases, sophisticated analysis, high-tech data collection equipment, etc. But what about the thousands, maybe hundreds of thousands, of people who could benefit from just being able to take the first step of importing basic information and coordinates into a mapping program.

    Last week, a reader sent me a small dataset of simple lat/lon coordinates in Excel and asked me the best way to import them into some sort of mapping software. My first inclination was to use ArcGIS.com or Google Earth, or something online to avoid having to download, install and maintain software on local computers. But alas, that was not to be. After a quick post to the ArcGIS Resource Center Forum, I quickly found out that ArcGIS.com was not going to work.

    “Nelson” responded to my post with the following:

     


    Hey Eric,
    Unfortunately, there is no direct way to add layers, csv files, etc., to ArcGIS.com; however, Esri has noted on a couple of occasions that they are exploring the possibility of this functionality.

     

    Hmmm….I briefly considered Google Earth, but my experience has not been great with Earth or Earth Pro. It’s ok, but still a little cheesy for my tasted.

    When I suggested that my back-up plan was to investigate ArcGIS Explorer, Nelson responded:

     


     

    ArcExplorer is definately the route you should take.

    There are a number of advantages to it:

    1) The points can be imported very easily using the GUI.

    2) If they ever do decide to shift to a GIS, the layers in ArcExplorer can be shared using Layer Packages or KML files.

    3) The Google Earth interface is not as user friendly as ArcExplorer and you also have the ability to change to a number of Basemaps on the fly — ArcGIS Online (Imagery, Topographic, Streets) Bing and OpenStreetMap with 2D/3D rendering.

    Lastly, if you yourself are an ArcGIS user, it will probably make your life a little bit easier to work with a format that is well organized and familiar to you.

    Cheers,

    P.S. At the Federal User Conference, Esri announced there is going to be tons more functionality built in to ArcExplorer over the course of the year.


     

    At that point, I committed to trying ArcGIS Explorer. Please note that I’m the last person to open a manual for this kind of software. I really think it should be straight-forward enough to figure it out in a few minutes. The only reference I used was the online ArcGIS Explorer Desktop FAQ and I accessed the Help file once. Of course, I used the ArcGIS Explorer Forum, which is very good.

    Here is a screenshot of the data I had to work with. it was 62 records long, a subset of the actual dataset.

     

    I spent the most time making sure the coordinates were formatted correctly. The original spreadsheet had N/S/E/W to indicators instead of positive and negative. For example, instead of -17 04.201, it was formatted as 17 04.201s, with the “s” denoting south latitude. For your reference, north latitude is positive values, south latitude is negative, east longitude is positive, and west longitude is negative. This had to change. With only 62 records, I could do it by hand in a couple of minutes. If I had to change 600 or 6,000 records, I would have used a more automated method.

    The other item I needed to figure out were the attributes. None were provided in the spreadsheet, so I inserted a description number and a title for each point.

    Once the spreadsheet was formatted correctly, the rest was very quick and straight-forward. After installing ArcGIS Explorer, this is what you see when you run the program.

     

    If any of you had used ArcExplorer in years past like I did, this is totally different, and refreshing.

    I saved the Excel spreadsheet as a CSV file (Comma-delimited text file).

    To import into ArcGIS Explorer, simply select Add Content/Text Files.

     

    Once you select the CSV file, it reminds me of importing a CSV file into Excel in that you have to define what each spreadsheet column means, although ArcGIS Explorer does recognize some of the fields automatically. For example, if the top of a column is labeled lat, latitude, y, y-coord, y-coordinate, ArcGIS Explorer automatically assumes the data in the column contains latitude data. The same goes for the longitude and elevation fields. For a good description of importing text files, click here.

    First text import screen:

     

    Second text import screen:

     

    After clicking on Finish, the data is imported and displayed in ArcGIS Explorer.

     

    The background imagery is automatically displayed and there are a number of display and analysis options.

    To query a particular feature, simply click on it. A window is displayed as follows:

    The pop-up window could display a number of things such as hyperlinks, photos, videos, etc.

    Once your data is imported, other map data can be added to customize the final to your liking.

    Finally, there is a 3D view that I tried, but it didn’t work for me. I suspect it had to do with my laptop video card or video memory, but I would like to have seen it work. That would have been cool to see, especially if a rough terrain surface was visible.

    Alas, there is an online version of ArcGIS Explorer I didn’t try. There was some discussion about it at the 2011 Esri Federal User Conference (FedUC) a couple of weeks ago. Click here to see what’s coming in future updates of ArcGIS Explorer Online.

     

    Thanks, and see you next week.

    <
    span style=”font-size: 11px; color: rgb(82, 82, 82); line-height: 16px; font-family: Arial;”>Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Where the 3D Scanning Action Is, and Keeping It Simple

    I’m preparing for some conference presentations I’ll be giving in a couple of weeks. One of the subjects I’m covering is spatial data transformation, or traditionally known as ETL (Extract/Transform/Load) tools. I’ve written many times before that in the geospatial industry, data is the fuel. We, as users, have access to some amazingly powerful GIS software tools.

    Clearly, the geospatial enabler is data. Without it, it’s like having a fishing pole without a pond; a tool without a purpose.

    If you look at emerging geospatial technologies, where’s the data coming from? Yes, crowd-sourcing, GPS/GNSS, and imagery are, and will continue to be, volume sources of geospatial data.

    From an infrastructure perspective (civil engineering), 3D laser scanning is a particularly interesting source of high-volume geospatial data. Ground-based and airborne 3D scanners create insanely huge volumes of data. Although an emerging technology, these scanners (LiDAR technology) have been around for many years.

    I recall using this technology on projects 8 or 9 years ago to scan accident scenes and infrastructure such as bridges. The scanning time was amazingly efficient. In some cases, the scanning data collection sessions were done in a couple of hours. During that period, literally millions of data points were collected. For the first time, the ratio between labor expended on data collection and labor expended on data processing was extremely skewed towards data processing, and that was the headache.

    While scanning time was very short, data processing time to produce a deliverable was brutal, literally taking weeks. Granted, that was 8 or 9 years ago. Advanced software tools have made data processing more efficient today, but dealing with huge volumes of data is still a challenge. Some people say that scanning may eventually replace traditional surveying equipment that shoot and record one coordinate at a time. A land surveyor, on a really strong day, may be able to shoot and record upwards of a 1,000 coordinates. With a scanner, that same person could shoot and record millions of points in a day.

    Data, Data, Data
    Ground-based and airborne LiDAR technology are clearly on the uprise. Last year, while most conferences were struggling to maintain the 2009 levels, even failing, the SPAR 2010 3D imaging conference was up 23%, according to their reports. The International LiDAR Mapping Forum conference also reported record attendance figures. Although the conferences are still in niche-mode (less than 1,000 attendees), the growth is steady.
    If you step back a bit and look at the big picture, the game is in data processing. Yes, equipment manufacturers will crank better and cheaper scanners, but turning those 3D point clouds into useful products is where the action is.
    You can see this with SAFE Software’s recently announced FME 2011 product. While historically focused on GIS and CAD interoperability, SAFE obviously sees the upside in the point cloud business as a major part of FME 2011 is focused on dealing with the massive amounts of data created from 3D laser scanning.
    Keeping it Simple
    Changing gears…
    With all this geospatial technology advancing faster than a rabbit on a motorcycle, it’s hard to slow down and look at the simple uses of GIS that still offer a lot of value. As much as most of us are pushing hard to implement more and more spatial data technology, it’s just as important that we introduce people to GIS, even a very simple version of it.
    This week, a reader asked me about the best way to display a map from a bunch of lat/lon coordinates (little or no attributes) in a spreadsheet. No complex attribute tables, no strange map projection, just a spreadsheet of lat/lon coordinates.
    This challenge gave me reason to revisit Esri’s freely available ArcExplorer software. It wasn’t my first choice, but it’s where I‘ll likely end up. I haven’t touched ArcExplorer (I know that’s not the name of the current software, read on) for quite some time (as in a couple of years or more). I use ArcGIS, AutoCAD and a half-dozen other spatial data software tools.
    When presented with the challenge, my first inclination was to push her towards arcgis.com in order to steer her away from having to download, install and maintain desktop software. No go. After a quick post to a support group, I’m told there’s not an easy way to add this data to an arcgis.com map. My other thought was Google Earth. Naah.
    I subscribed to Google Earth Pro for a year and it really is sort of cheesy, to me. Maybe it’s because my view is distorted from my experience with GIS software in the past, but it seems to me that Google Earth is still primarily eye-candy, and what I really wanted was an easy-to-use, light-weight GIS. However, I do hope that they continue pushing that technology forward.
    All along, I thinking my ultimate back-up plan would be to recommend ArcExplorer. I went to download it and remembered it’s now upgraded to ArcGIS Explorer. I remember reading and posting that news awhile back, but hadn’t taken the time to download and preview it. It’s a much different animal than ArcExplorer, and I like what I see so far. I haven’t tried to import any data yet, but from the menu selection, I can see it will accept the simple ones such as shapefiles, raster imagery, ASCII, and GPS exchange files. Most simple data sets can be converted to one of these formats using freely available software tools.
    ArcGIS Explorer Opening Screen
    This will be an interesting experiment, and one I will update you on, likely next week, as I try it with a sample data set from the reader.
    I really like the opportunity to introduce someone to GIS, even at just a simple level because I believe will open their eyes to other possibilities in the future. It empowers them to think more GIS-centric.

    Thanks, and see you next time.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Remember How Slow Dial-up Was? That’s Where GPS Is Today

    It’s not often that I share content between the two newsletters I write (Geospatial Weekly and Survey Scene), but this week is one of them. Europe’s version of GPS (named Galileo) will have a profound effect on the geospatial industry in the future. In the past, I’ve written about how cheap accurate positioning is going to get. Europe’s Galileo is a big step in that direction and an important factor in making it happen faster than GPS alone.

    Being able to collect accurate geospatial data, whether it’s a utility pole, a wetland monitoring well, or a catch basin, will be infinitely easier, cheaper, more efficient and more accurate than it is today. Therefore, with accurate data becoming much more available and accessible, what do you think will happen to geospatial applications?

    To answer that question, I’ll use an analogy that we can all relate to.

    Remember in the early ’90s when the average person accessed the Internet via a dial-up connection? You were lucky to get a connection speed of 56 kbps, and more likely it was 28.8 kbps or 14.4 kbps. At that speed, there is only a limited amount of activity one could do on the web. Geospatial professionals and geospatial users are particularly heavy users of Internet bandwidth. GIS vector data, imagery, and maps in general create sizable files. Can you imagine the typical geospatial professional trying to accomplish their daily tasks using a 56 kbps dial-up connection to the Internet?

    Think about how much economic benefit the world has gained with the introduction and proliferation of broadband (cable, DSL, high-speed wireless, etc.) Internet connectivity. Not only are we more efficient with broadband connectivity, we are more enabled. Take one example, cloud computing. That emerging technology is totally reliant on broadband Internet connectivity. If only dial-up existed, cloud computing wouldn’t exist.

    To put GPS/GNSS (Galileo, GLONASS, etc.) in perspective, we are still in the “dial-up” phase. Even though GPS/GNSS is a multi-billion worldwide industry today, imagine what it will be when it enters into the “broadband” phase. Try to imagine the tremendous number of applications that will be enabled when GPS/GNSS is orders of magnitude less expensive and more accurate than it is today. Then, think about how much of the GPS/GNSS industry has a geospatial component to it.

    The following is lifted from my Survey Scene newsletter we published this week. It describes the path to cheap accuracy and how Galileo will help us get there faster.

     


    2011: The Year for Galileo

    January 18, 2011

    By Eric Gakstatter

    Back in December 2006, I wrote about the momentum of Galileo (Europe’s planned satellite navigation system) in an article discussing GNSS trends. Galileo been discussed off and on for well over a decade and was a hot topic for a number of years. In fact, back around 2001, the U.S. really didn’t want the European Union to embark on the project. While there was not a clear policy against Galileo, certainly the sentiment was questioning the creation of another satellite navigation system when GPS already exists that’s free for everyone to use. Ok, it probably wasn’t that simple, but you get my point. No bueno from the U.S. at that time.

    The following is an EU slide that illustrates why the EU wants to develop its own satellite navigation system similar to GPS:

     

    Source: European Commission – Montpellier, France – October 2010

    Then, in 2004, the U.S. government abruptly changed its tune. It really doesn’t matter why and I’m not sure I’d believe the answer if I was given one, but President George HW Bush instituted a new policy that encouraged international cooperation. The U.S. SPACE-BASED POSITIONING, NAVIGATION, AND TIMING POLICY issued in 2004 stated, among other things, that the United States shall:

    “Seek to ensure that foreign space-based positioning, navigation, and timing systems are interoperable with the civil services of the Global Positioning System and its augmentations in order to benefit civil, commercial, and scientific users worldwide. At a minimum, seek to ensure that foreign systems are compatible with the Global Positioning System and its augmentations and address mutual security concerns with foreign providers to prevent hostile use of space-based positioning, navigation, and timing services;”

    Also in 2004, the U.S. and European Union signed the landmark GPS-Galileo Agreement that established a basis of cooperation. This was great news for the GNSS user community. More satellites and more signals usually equates to better performance.

    The next policy update after 2004 was last year (2010) and it was simply titled “NATIONAL SPACE POLICY“. The sentiment regarding international cooperation was the same, if not leaning more towards cooperation:

    “Engage with foreign GNSS providers to encourage compatibility and interoperability, promote transparency in civil service provision, and enable market access for U.S. industry;”

    After the 2004 GPS-Galileo policy was published, the question from the civil user community was, “When are we going to have satellites in orbit broadcasting signals we can use?”

    The answer to that question wasn’t easy, and took longer to answer than anyone predicted, including myself.

    Now, we have the answer.

    Unlike GPS and GLONASS, Galileo is a civilian
    project, not a military-funded one. I’m not saying GPS and GLONASS were easy to fund, but the core application was defined (military use), and the funding required to develop and maintain GPS and GLONASS is drawn from the military budget. Furthermore, the European Union is comprised of 27 member countries. The political dynamics are, obviously, very complex.

    The Galileo funding modeling initially was to be a public-private partnership (PPP). Part of it would be funded with public money and part of it would be funded by a consortium of companies. But, that wasn’t so easy. How much funding would each contribute? What’s the return on investment? How would it generate revenue? Would there be a tax receiver sales? Would there be a user charge?

    We’re not talking about small sum of money. We’re talking about several billion Euros just to get it off the ground.Think about it, how much money has the U.S. military spent to develop GPS? $30-$35 billion for development, deployment and long-term maintenance. Granted, Galileo will cost a lot less than that, but it’s still a healthy sum that no company would be willing to gamble without a solid return-on-investment (ROI) argument.

    Eventually, the PPP (Private-Public Partnership) funding model was abandoned and in late 2007, and as described in a January 2008 GPS World article:

    “European officials responsible for the EU budget said they had found funds for Galileo, proposing to draw unused money originally earmarked for natural resources programs this year and next. The move would provide some €2.4 billion ($3.3 billion) for Galileo — the budgetary shortfall left with the dissolution of the public/private partnerships — over the course of the next six years. The following month, European parliamentarians agreed with the plan, but felt it didn’t go far enough. They boosted proposed funding for Galileo, increasing the money set aside for the program in 2008 to €739 million ($1.06 billion), up from the much more modest €151 million under the transport officials’ original proposal for next year.

    Not all were sold on public funding for Galileo. But in November, European officials said they had ironed out their differences. At the 11th hour came heated debate about how Galileo funding and contracts would be awarded among member states and their respective aerospace companies. Eventually, a final accord was reached. Europe anticipates spending €3.7 billion on Galileo through 2013.”

    (Updated figures: €2.1 billion for IOV and €3.4 billion for FOC)

    That was three years ago. The EU folks have been working hard since then, but talk is cheap and people stopped talking about Galileo with the exception of a few information spikes here and there. There was nothing else to say until now.

     

    2011 is the Year for Galileo

    Galileo will likely meet a major milestone this summer, launching their first two satellites for in-orbit validation. But unlike the two Galileo test satellites already in orbit (GIOVE-A and GIOVE-B), these satellites will be part of the planned 30-satellite operating constellation.

    For you Galileo naysayers, the EU is past the point of no return. Eighteen satellites are contracted. There is no reversing the process. And, if I were to place a bet, it’s very unlikely to stall at 18. That would be sort of like building a structure, but not finishing the interior.

    Although I haven’t seen a detailed launch schedule or control segment plan, the latest Galileo public document I’ve read (European Commission – Montpellier, October 2010) presents the following timeline:

    2011/2012 – In-Orbit validation: Four IOV satellites and ground segment (based on European Commission presentation from October 2010).

    2014/2015 – Initial Operating Capability for early services — 18 satellites (based on European Commission presentation from October 2010).

    2019/2020 – Full Operating Capability — 30 satellites (based on mid-term review released January 18, 2011)

     

    2014 Will Be the Year of Cheap GNSS Accuracy

    I believe the magic year for GNSS will be 2014. That’s when GNSS receivers are going to be very interesting.

    Why?

    It’s no secret that I think the new L5 signal is a game-changer. Last summer I wrote an article titled “What’s Going to Happen When High-Accuracy GPS is Cheap?”  It’s all about L5.

    L1/L5 dual-frequency receivers are going to be cheap, and accurate. Today, dual-frequency (L1/L2) receivers are thousands of dollars. L1/L5 receivers will be a fraction of that cost because open signal specifications will lead to increased competition.

    As I mentioned in the article last summer, the GPS Directorate is planned to have 24 satellites broadcasting L5 by 2019. The beauty of Galileo is that it can cut that time in half and make it happen by 2014, only three years from now. Here’s how.

    Since Galileo supports L1 and L5 similar to GPS, you only need 12 x GPS satellites broadcasting L5 and 12 x Galileo satellites broadcasting L5 to have something close to 24 satellites broadcasting L5.

    The BIG question is if the U.S. and EU will coordinate orbit slots so the 12 x GPS and 12 x Galileo satellites are in a somewhat optimal 24-slot constellation instead of an uncoordinated configuration. The civil economic benefit from taking advantage of L5 as soon as possible would be substantial. Just this week, the EU issued a reportstating that 6-7% of the GDP of EU countries is dependent on satellite navigation. Better accuracy enabled by L1/L5 will spur a mind-boggling number of new applications that will further broaden the GNSS user base and economic impact. It would also stimulate GNSS receiver development from a much broader range of GNSS receiver designers than we see today.

    With a combined GPS/Galileo constellation, not only will accuracy become cheaper, but availability will increase significantly. The new GPS 24+ 3 configuration is certainly a big help for high precision users with respect to availability. Can you imagine how much precise positioning availability will improve when 18 Galileo satellites (not to mention 30) are added to the mix? Last summer, the EU-U.S. Cooperation on Satellite Navigation Working Group C published a report entitled “Combined Performance for Open GPS/Galileo Receivers.” The report succinctly draws the following conclusion, with which I wholeheartedly agree:

    “The studies demonstrate and quantify the improvements that can be expected when using GPS and Galileo open services in combination under different environmental conditions. In all studied cases, the combination of GPS and Galileo led to noteworthy performance improvements as compared to single system performance. The most significant improvement is for partially obscured environments, where buildings, trees or terrain block portions of the sky. The increased number of satellites available provides robust performance even as some signals are blocked, which is reflected in a significant increase of positioning accuracy and availability.”

    Following are some data from the report that back up the conclusions on availability.

    Availability with a 15° elevation mask

    GPS only – 99.10%

    Galileo only – 100%

    GPS/Galileo – 100%

    Availability with a 30° degree elevation mask

    GPS only – 57.28%

    Galileo only – 75.02%

    GPS/Galileo – 98.93%

    Granted, you should take these numbers with a grain of salt. These are based on positioning with four satellites in view. The reality is that for high precision users, we need data from at least six satellites for robust positioning. But, I think the scale of improvement when going to GPS/Galileo constellation is obvious and will scale similarly when considering six satellite positioning.

    For all the reasons above, I’m putting my stamp on 2011 as being The Year of Galileo. Look forward to further coverage on Galileo in the coming months.

    ———————————————–

    Upcoming Jan. 26 WebinarSBAS, DGPS or Post-processing? Which Should You Use?

    Speakers:

    Eric Gakstatter, Editor, Geospatial Solutions and Survey Scene newsletter &

    Dr. Mike Whitehead, VP of Technology at Hemisphere GPS

    Event Date: 01/26/2011 10:00 AM Pacific Standard Time, 5 PM GMT

    Tens of thousands of users around the world utilize GPS/GNSS receivers for mapping, surveying and navigating. Since autonomous GPS/GNSS typically does not provide the needed accuracy, users must rely on a source of GPS/GNSS corrections. There are three sources of GPS/GNSS corrections available to users who desire reliable GPS/GNSS accuracy in the sub-meter to three meter range: SBAS, DGPS and post-processing. Dr. Michael Whitehead, Chief Scientist at Hemisphere GPS, will join me in presenting a background on the three technologies as well as the strengths and weaknesses of each. I’ve known Mike for a number of years. He was an early innovator in the development of SBAS technology at Satloc as well as SBAS and DGPS receiver technology at Hemisphere GPS. He is one of the leading GNSS engineers in the world. I’m particularly excited about this event and promise a lively discussion that’s full of useful information, data and concepts that anyone using or considering using GPS/GNSS for mapping, surveying or navigating will find useful.

    Thanks, and see you next time.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Geospatial 2011: Ten Big Ones in Five

    Ok, a little later than other folks out there, but I’m in Belgium and the beer is good.

    Here’s my Ten Big Ones in the geospatial industry for 2011.

     

    Ten Big Ones

     

    1. Open Street Mapping (OpenStreetMap.org)

    Yes, this is real and its gaining traction. This is a Wikipedia-like effort to create a digital map of the world, for anyone to use free of charge. You can be contributor, or you can be a user, or you can be both. Think about it, the latest OpenStreetMap blog is talking about mapping public toilets. Strange, but frighteningly useful.

     

    2. Crowd-sourced data

    Highly related to OpenStreetMap.org but not dependent on said .org, crowd-sourced data has the potential to go viral. It’s going to take one funky app or news story to get people hooked on crowd-sourced data. Of course, that’s a fad, but it has daily usefulness too such as citizen reporting (eg. graffiti, broken sidewalks, downed trees/powerlines, etc). Moving slower will be land surveyors, engineers, land planners who buy into Esri’s Community Base Map initiative that Jack Dangermond promoted at last year’s Esri International User Conference Plenary.

    Mobile Devices, Content, and Other Top GIS Trends

    More on Crowd Sourcing

     

    3. LBS apps

    Watch where the venture capital money is being invested. Like me, you may not like the Wall Street mentality, but you can rest assured that like vultures, they follow the money. And they are putting their money into LBS ventures, such as Foursquare, Gowalla, and Telenav.

    Neither Facebook nor Twitter started as LBS apps, but both went there.

    Got an Android phone? If so, you’ve got a free street navigation tool, Google Maps Navigation.

    Social networking LBS apps are projected to be a multi-billion dollar industry in just a few years.

    What is an LBS App?

     

    4. Location Privacy (think LBS apps)

    LBS apps are highly dependent on knowing where you are.

    GPS is being designed into most mobile phones.

    It’s great to know where you are, but do you want someone else knowing where you are? Your friends? Maybe. An advertiser? Maybe. A stalker? Not.

    This issue is heating up and will got hot in 2011.

    Privacy Push Will Impact Geolocation Sector, Attorney Says

    Management Association for Private Photogrammetric Surveyors (MAPPS) Urges FCC to Use Extreme Caution

     

    5. Augmented Reality

    The newest breed of LBS apps has a huge potential. In my opinion, it’s just a matter of time before this technology winds it way into many parts of our lives. In transportation apps alone, it will make our lives a lot more safe.

    It’s hard to contain myself when writing about this technology, so I’ll stop here. You will hear about it and you will experience it, this year and beyond.

    Augmented Reality

    Wikipedia entry

     

    6. Tablet computers

    Did you watch news coverage of last week’s Consumer Electronics Show in Las Vegas?

    Do you know what they featured?

    Tablet computers.

    ‘Nuf said.

    CBS News coverage at CES

    2011 will be another great year for tablet computers.

     

    7. Galileo

    This is going to sneak up on people in 2011. Galileo (Europe’s version of GPS) will launch its first two satellites in 2011. They are highly compatible with GPS.

    Unlike GPS which launches one satellite at a time, multiple Galileo satellites can be launched at one time. They will launch two-at-a-time to get the first four into orbit.

    The European Commission says they are on schedule to have 18 satellites in orbit by 2014 (more like 2015, though).

    Either way, this is a game-changer.

    It will make L5 a reality sooner than GPS-alone.

    What’s Going to Happen When High-Accuracy GPS is Cheap?

    GLONASS? What’s GLONASS?

     

    8. Smart Phones

    Guess what the other hot topic was at the Consumer Electronic Show in Las Vegas last week?

    Yep, smartphones.

    Check out CNET’s Jessica Dolcourt’s comment when asked, “What trends will we see in smartphone hardware and software in the next two to five years?”

    “We’re going to see quad-core processors and 3D. Gaming will really take off with much better processing speeds and hardware acceleration. Battery technology will also have to improve to handle the much richer multimedia. In terms of hardware, NFC (near-field communication) chips will proliferate as one way that smartphones will largely replace physical wallets.”

    I agree. Wallets are going to be so 2010. Good riddance. I didn’t like you in my back pocket anyway.

    Putting on my professional geospatial hat, smartphones will change the way we collect data, period.

    In 2010, Gartner reported that smartphone sales were up 96% in Q3 2010 compared to Q3 2009; 417 million smartphones were sold in Q3 2010 alone!

    And that was before Microsoft introduced the Windows Phone 7.

     

    9. GPS-enabled Digital Cameras

    Ricoh seems to be taking the lead and others are following. As a geospatial professional, it’s clear that you value georeferenced digital photos. It’s one of the most highly searched terms on our website.

    Digital camera sensors are moving towards becoming ubiquitous. It’s going to become just another feature like Wi-Fi, Bluetooth, GPS, etc.

    GeoSpatial Experts Bundles Three New GPS Cameras with Photo-Mapping Software

     

    10. Cloud Computing

    Didn’t we used to do this, but it was called something else? I think so.

    Nonetheless, it’s got traction again. Think not? Read this.

    Dude, We’re Working in the Cloud

    It won’t replace all client apps, but for non-sensitive content, it’s a no-brainer. It’s a big money-saver for enterprise organizations.

    Microsoft is going to take a hit. Note to self: Sell MSFT stock.

     

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Will We Be a Billion Times More Geospatially Intelligent in Thirty Years?

    I recently read an article in the December 6, 2010, issue of Time magazine. Futurist Ray Kurzweil was asked the following question:

    “Is it a mistake to use the events of the recent past as a method of predicting the future?”

    His answer has me reconsidering my thoughts about the future of geospatial technology.

    Essentially, his idea is that we tend to think linearly when thinking about the growth of technology, or geospatial technology in our case. In his example, if you take 30 steps forward, you will end up at 30. Extending that logic, if we take one step each year for 30 years, we will end up 30 steps more advanced than we are today, in the year 2040.

    Not true, says Kurweil.

    He says the reality is that technology is moving forward exponentially, rather than linearly.

    What’s the difference? Take a look at this chart from Wikipedia:

     

    Red = Linear Growth, Blue = Cubic Growth, Green = Exponential Growth (Source: Wikipedia)

     

    Exponential growth means that geospatial technology will not be 30 steps ahead in 30 years, but rather a billion steps ahead in 30 years! That number is inconceivable to most people, including myself. Referencing the graphic above, at step 9, exponential growth begins to skyrocket after perculating slowly for the first 6 steps.

    Recall the question that may have been posed to you as a child.

    “Would you take $1,000,000 or a salary that started at one penny per day and doubled every day for 30 days?”

    Believe it or not, your salary for the day on Day 30 of the latter scheme would be $5,368,709.12. It’s a mind-numbing figure.

    Now, apply similar logic to the growth of geospatial technology over the next 30 years. Booya!

     

    Sensor Integration

    The development and integration of microelectronic sensors is going to be huge in the next few years, not to mention the next 30 years.

    Just today, Freescale introduced a microelectronic chip that is essentially a digital compass. It was designed to be integrated into mobile devices (smartphones, GPS navigators, etc.) to enable navigating in places where GPS doesn’t work well, or at all.

    We are only at the beginning of a huge wave of microelectronic sensors to come. Reference the Time magazine article again. Ray Kurzweil predicts that computers will be come small enough that we will be able to embed them in our bodies to enable us to be healthier and smarter. There’s a tremendous opportunity to improve our health. But to some of you, actually most of you (including me), the thought of having a computer, or more than one, embedded in my body is a very uncomfortable thought.

    I can think of a bazillion different microelectronic sensors that have been developed, are being developed, or will be developed. Temperature, moisture/humidity, motion/acceleration, white blood cell count, light, color, distance, etc. The list is endless. However, a common theme among all the sensors I can think of is the geospatial component. Location is an important reference for every sensor. That’s undeniable.

     

    Transportation

    Thinking in terms of transportation, it’s easy to see the future. In fact, the technology already exists today to make automobile and aviation transportation significantly more safe.

    I tell my kids that cars of the future will have laser rangefinders, GPS receivers, accelerometers, and fogline sensors built in. It will be impossible to cause an accident by falling asleep at the wheel or because you’re intoxicated or otherwise distracted. Laser rangefinders can monitor the distance from all surrounding vehicles and other obstacles. Another sensor will monitor the fog line (the white stripe along the shoulder of the road) and the lane stripes. Yes, you will still be driving and in control of the vehicle, but you will have technology helping you stay safe. Traffic accidents will decrease tremendously. The 6 o’clock news will have to find something else to talk about besides the five-car pile-up on the Interstate highway. There is nothing more clear to me than the benefits of sensors and geospatial technology in the transportation world.

    Last summer I saw a presentation from General Motors on the Chevrolet Volt. Think about it — Volt owners will be able to check their tire pressure from their mobile phone.

     

    I could write for a year on the subject of sensors and geospatial technology (and I will). It’s going to be thrilling to watch the technology progress. Forget about thinking of geospatial technology being a billion times more advanced than it is today. Just try to think of it being a million times more advanced than it is today. That’s enough to keep your mind busy while you’re taking a shower, for years to come.

    Thanks, and see you next week.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric

  • Dude, We’re Working in the Cloud

    Last week, I wrote about the unpredictable software development landscape for tablet computers and smartphones. The iOS (iPhone/iPad) has firmly established its presence, Android is picking up steam like locomotive, and Windows Phone 7 is making its debut.

    I heard from a few readers. One in particular was an employee in a larger enterprise. He bent my ear about “working in the cloud.” He said their office apps were all heading towards being cloud-based, and he suspected that mobile GIS apps were headed that way, too. Essentially, he said that if your tablet or smartphone or whatever runs a compatible web browser, you’re ready for mobile GIS.

    “Dude, we’re working in the cloud.”

    That said, let’s cover the basics…

     

    What Is “the Cloud” and Where Is It?

    The cloud is essentially internet servers (computers) that run the applications your computer uses. These servers reside at companies that offer cloud services. Users connect to those servers via the Internet. For example, instead of installing Microsoft Office on your computer, you would access Microsoft Office applications on the cloud servers using your web browser. All you would need on your computer is a compatible web browser. Essentially, it’s off-loading the IT tasks to someone else. There’s no need to install application software on each desktop computer. With cloud computing, a lot of IT department overhead just disappears. In a true cloud environment, all of your apps reside on servers similar to the diagram shown below.

    Source: Wikipedia.org

    Some of you may be working in “the cloud” already with some of your apps. In my case, the vast majority of the apps on my computer are resident on my computer (I installed them). However, I’m writing this article with an app running in the cloud. I’m not even sure where the server is located. I connect to the cloud server(s) and log in using a standard web browser (Google Chrome at the moment).

    I’m still uneasy with using cloud computing.

    In my limited experience, I’ve had a few negative experiences:

    1. The application responsiveness is dependent on Internet connection and cloud server capacity. I’ve experienced occasions where the app was running very slow (especially when integrating images) due to the server capacity and/or my Internet connection speed. It’s even worse when I’m accessing the Internet using my wireless data card while traveling.
    2. I’ve had occasions when I’ve accidently pressed the wrong key on my keyboad and the application backed up to the previous screen, losing my work.
    3. I’ve accidentally used the web browser running the app to perform a Google search, again losing my work.

    In all fairness, I think #2 and #3 are a function of the app software rather than cloud computing. It should have an “Are you sure?” warning before taking the user away from the app screen.

    Another major concern is information privacy. With cloud computing, every keystroke is sent out into Internet land. That makes the hairs stand up on the back of my neck. Now, I’m sure cloud app providers like Microsoft and Google have thought this out pretty thoroughly, but I’m still hesitant about this. A New York Times article published in 2009 summarized my attitude the best: “Don’t put anything in the cloud you wouldn’t want a competitor, your government, or another government to see.”

    Lastly, the pricing structure is much different than purchasing a CD with your application(s). Cloud computing typically charges a monthly per user fee. For example, Microsoft Office 365 (targeted at small businesses) is US$6 per month per user.

     

    How Is Cloud Computing Going to Affect GIS Data Collection (Mobile GIS)?

    The readers who contacted me in response to last week’s article all believe that cloud computing will dominate mobile GIS in the future. For the most part, they said that the operating system of the device, whether it’s iOS (Apple), Android (Google), or Windows Phone 7 (Microsoft), won’t be a major factor as long as the smartphone (or other mobile device) can run a web browser. Notice I haven’t mentioned BlackBerry much. I’m not sure they are a long-term player in this game.

    Esri has already made its push into GIS cloud computing with its introduction of arcgis.com earlier this year, and then subsequent introductions and updates of its iOS ArcGIS app and API and plans for an Android app, and I imagine, Windows Phone 7, too. Cloud computing was, obviously, a major topic at the Esri International User Conference last summer.

    I believe there will be many, many GIS apps for smartphones. It’s hard to debate that. One of our readers, Larry Evans, manages the GIS unit, among other things, for the State of West Virginia Department of Environmental Protection. He also teaches undergraduate- and graduate-level courses on GIS at Marshall University.

    Larry was kind enough to send some compelling slides from his course that illustrate the emerging smartphone boom. It’s no secret, but certainly makes one think about where we will be in five years with respect to mobile GIS.

    Mobile Devices: Next Computing Cycle? (Courtesy: Larry Evans)

     

    Wireless data growth (Courtesy: Larry Evans)

     

    Mobile data growth (Courtesy: Larry Evans)

     

    New Kids in Town (Courtesy: Larry Evans)

     

    Larry writes:

    The one thing I’m certain about in all this is that as the mobile side technology matures we’ll see much more powerful mobile apps that bridge that gap to professional mapping/surveying. As mobile begins to tap better into the potential of sensory networks, things get really interesting in a hurry. Future GPS chips, as we all know, will be an order of magnitude more accurate because of the greater number of SVs (GPS satellites) overhead and our ability to improve antennas and receiver sensitivities. I seem to recall you did a great little write-up of that not long ago. To sum up where my head’s at, I guess I’m in the “they will build it and it will come” camp on professional geospatial apps. Once I have the tools, then I’ll build my own solutions customized for the kinds of things I want to do geospat
    ially.

    While I’m sold on the fact that mobile GIS apps will experience tremendous growth on smartphones over the next few years, I’m not so sure about professional geospatial apps like ArcPad, TDS Solo, Carlson SurvCE, Trimble Terrasync, Topcon Topsurv, CMT Field CE, etc. I’m not convinced for a couple of reasons.

    First of all, the market size for those apps is really not very big, which makes it difficult to justify the development cost of moving to an iOS or Android. However, the bright spot would be Windows Phone 7, because that would be a migration of software (Windows Mobile to Windows Phone 7) rather than a rewrite.

    Secondly, smartphones aren’t going to eliminate the industrial handheld data-collector market. Data collectors from TDS/Trimble, Juniper Systems, Handheld, Getac, Leica, Topcon, etc., will still have a place in the professional geospatial fields such as forestry, surveying, engineering, GIS, and construction. In those applications, smartphones are not robust enough (physically) to be trusted when a hardware failure can cost thousands of dollars in lost data and/or productivity.

     

     

    Webinar (January 26, 2011): GPS SBAS, DGPS or Post-processing? Which One Should You Use?

    If you are using or plan on using GPS for mobile GIS, you should seriously consider attending this webinar.

    Learn the real story behind each of these technologies without a salesperson’s bias.

    Tens of thousands of users around the world utilize GPS/GNSS receivers for mapping, surveying and navigating. Since autonomous GPS/GNSS typically does not provide the needed accuracy, users must rely on a source of GPS/GNSS corrections. There are three sources of GPS/GNSS corrections available to users who desire reliable GPS/GNSS accuracy in the sub-meter to three meter range: SBAS, DGPS and post-processing. Dr. Michael Whitehead, VP of Technology at Hemisphere GPS, will join me in presenting a background on the three technologies as well as the strengths and weaknesses of each.

    I’ve known Mike for a number of years. He was an early innovator in the development of SBAS technology at Satloc as well as SBAS and DGPS receiver technology at Hemisphere GPS. He is one of the leading GNSS engineers in the world. I’m particularly excited about this event and promise a lively discussion that’s full of useful information, data, and concepts that anyone using or considering using GPS/GNSS for mapping, surveying, or navigating will find useful.

     

     

    Geospatial Solutions Weekly holiday schedule

    We won’t be publishing the Geospatial Solutions Weekly newsletter for the next two weeks. The next issue will be emailed to you the week of January 3, 2011. However, we will continue to post news items on our website and I will continue to “Twitter” when I come across something interesting.

    Have a safe and happy holiday season.

    Follow me on Twitter at http://twitter.com/GPSGIS_Eric