We had the opportunity to catch up with James Fee at Spatially Adjusted and Planet Geospatial to get his opinion on the current and future state of GIS and the GeoWeb. James is a certified GIS Professional (GISP) and GIS developer, analyst, and consultant and has spent the last decade implementing, developing and consulting on GIS projects. He has experience with almost all of the large players in the geospatial field such as ESRI, MapInfo, Manifold, OSGeo (MapServer, GDAL, QGIS, OpenLayers), MapDotNet, Oracle, Microsoft and Google.

FortiusOne: Where do you see GIS going in the next 10 years?

James Fee: I think data and collaboration will be huge in the next 10 years.  The explosion of Neogeography and projects such as OpenStreetMap have brought many new faces into GIS.  Not only are we seeing spatial data being pushed out to the public at large, but this data is beginning to be integrated into GIS workflows.  We’ll begin to see metadata and documentation of these datasets as well making them very valuable.  

While freely sharing data has been great, the next logical step is allowing companies to monetize their datasets, share as easily.  The ability to pay and use data services should revolutionize the industry.  The price of data hasn’t really been a limiting factor yet, but the difficulty of integrating these datasets into online mapping or even in desktop GIS has hurt adoption.  In addition the speed of geospatial data services has been poor so moving these services into the Cloud should improve performance and increase profitability given that there is no need for large overhead (such as servers, or bandwidth).

FortiusOne: Will there be convergence between GIS and the GeoWeb to the point that they become indistinguishable?

James Fee: Possibly, I think this have been the holy grail that everyone has been trying to attain.  GIS by its nature is complex and you generally need complex solutions to complex problems.  That said I think we’ll see many operations that were the domain of GIS begin to be part of the GeoWeb.  Basic geoprocessing over the web via an easy-to-use interface can satisfy a vast number of use cases of general users without hitting them over the head with a steep learning curve.  

Usually moving GIS to general uses has been by giving them the kitchen sink and expecting them to figure it out.  Simple solutions to their “simple” problems is how we’ll see GIS and the GeoWeb converge.  Over time more and more “complex” analysis will be available to use by just about anyone with a computer, but I’m not sure we’ll see that in the next 10 years.

FortiusOne: Do datasharing and crowdsourcing have a place in GIS?

James Fee: Yes, but the problem is how do you give GIS professionals the ability to use the data and make decisions about its accuracy.  I guess it brings up the question, do you trust a Biologist in the field with at GPS more than a hobbyist?  I’d guess most GIS professionals would pick the Biologist, but a degree in Biology doesn’t mean the data is necessarily good.  

Datasharing and crowdsourcing are great ideas but for GIS to use them, they need metadata, documentation, and possibly a rating system.  A “marketplace” should allow users to rate the quality and accuracy of the data which both helps others make decisions about the data and gives feedback to the creator on how they can improve their dataset.  OpenStreetMap has been a great example on how “experts” can help “novices” grow to be experts in data collection.

FortiusOne: Should there be a marketplace for online geodata?  

James Fee: Totally, I think there has to be.  First off, you need some place users can feel comfortable buying data.  Second you need a place where data can be rated and reviewed.  Third you need a place where data providers can put their information in the cloud for quick and easy access buy everyone.  If someone is investing time and energy into creating their data, I don’t see any reason they can’t be rewarded for this.  

I think some data will be available via micropayments and other data will be very expensive (or the ability to pay for read only data vs editable data).  Having some place where users can go to both sell and buy data, search for data, and review data is critical today.  Sure Google will index spatial data, but being able to go to a focused marketplace will put buyers and sellers together quickly.  And at least today, any site that sells data should be compatible with ESRI software.  Offering up data types that aren’t compatible with ESRI will limit any marketplace.

FortiusOne: What emerging technology trend will have the biggest impact on GIS?

James Fee: I think putting a GPS in so many “ordinary” things is going to impact GIS immensely.  Walking around with a GPS in your phone should give you access to many GIS applications, digital cameras and video cameras with GPS will spatially enable tons of datasets.  

FortiusOne: What is your reaction to the Google – ESRI announcement?

James Fee: We’ll have to see what impact this really has.   It isn’t revolutionary the idea that Google might index GIS servers, the hard part is getting all these traditional ESRI clients to open up their data is the challenge.  They’ll need to see the benefit to allowing users to view their data in any way they choose rather than the traditional hard to use ESRI web mapping front end.  

FortiusOne: What impact will Google have on GIS?

James Fee: Google has already had a huge impact on GIS.  At a minimal level, it has already allowed GIS users to search for data sets.  Google Maps has totally changed how web mapping is used and displayed on the internet, Google Earth has pushed 3D GIS to the mainstream and now their geo search 2.0 and geo sitemaps they pushing spatial searching.  Google has been really good about getting spatial data in front of everyone in a way everyone can use it.  GIS has learned much from this and the new tools coming out by ESRI, Autodesk, etc. all are very “Google-like”. 

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Cuba has been in the spotlight lately as Raúl Castro officially takes over as President ending the 49 year rule of his brother Fidel Castro. What will be the legacy of Fidel Castro and the socialist revolution that he led since 1959? One of the most acclaimed successes for the Cuban government has been its progress in health and health care, particularly in the rural areas in the eastern part of the island. Whether or not health care in Cuba is what the government claims it to be is strongly debated. See for yourself the state of health and health care in Cuba using Finder!.

The Cuban government provides in depth statistics on the health of its population by province and finder has these data available for the years 1996 to 2006 with more than 80 health and health care related attributes. Whether you are interested in the change in infant mortality over the last decade, which provinces have more doctors per resident, or what is the leading cause of death in each province, this dataset will help illustrate what the situation is on the island.

Here is an example of what these data can be used for. This map shows the number of family doctors per habitant in 2006. Provinces in red have less doctors and the green ones have more.

See data for:
2006
2005
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2003
2002
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1999
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1996

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We’ve been doing a lot of data migration and new data uploads with Finder! and often times our data team runs into data and mapping headaches. One that we commonly encounter are largish shapefiles that make for really bloated KML when we convert it (for instance a 2mb shapefile for US counties becomes a 5.4 mb KML file). The end result are big files that completely kill browser based applications like Virtual Earth and Google Maps, or load really slowly in thick client applications like Google Earth and ESRI AGX.

There are three factors that constitute file bloat for any vector based geospatial data:

1) The number of attributes (how many columns)
2) The number of features (how many rows)
3) The complexity of the geometry (how much needs to be drawn)

You can do some clever things to manage the first two at a low level - although you still are going to have bloat when you convert to a standard file format. The third factor, geometry complexity, is interesting because you can also do some low level tricks whose savings can be passed along to standard file formats. Reducing the complexity of geometry is often called “map generalization” in academic circles.

The general concept is that you remove details from the map without loosing the message and context of the map. All maps have some form of generalization otherwise it would be a perfect reflection of reality. Academics have used algorithms to heuristically derive a map generalization. This is probably best explained with a few examples. Below is a map of Europe in full detail:

Next is map generalization that removes some of the detail but still keeps the context of Europe and the country boundaries:

Last a more extreme example with even greater detail removed:

To pull off these nifty computational tricks used to require some fairly sophisticated desktop software, but Matt Bloch and Mark Harrower at the University of Wisconsin figured out a clever way to enable enable real-time WYSIWIG map generalization. The resulting application is called MapShaper. You can upload a shapefile and run different generalization routines (with high level of control if you choose) then export the result back out as a shapefile or an EPS file. The shapefile export is down at the moment, but hopefully will back in action soon.

I think these kinds of technologies and mathematics are going to be increasingly important as we need to make ever larger datasets available. Especially when the receiving devices are increasingly mobile with even smaller data handling capabilities.

Popularity: 30% [?]