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Archive for June, 2017

Data Quality on Live Web Maps

June 19, 2017 3 comments

Modern web maps and the cloud-based GIS tools and services upon which they are built continue to improve in richness of content and in data quality.  But as we have focused on many times in this blog and in our book, maps are representations of reality.  They are extremely useful representations, to be sure, particularly so in the cloud, but still are representations.   These representations are dependent upon the data sources, accuracy standards, map projections, completeness, processing and rendering procedures used, regulations and policies in place, and much more.  A case in point are offsets between street data and the satellite image data that I noticed in mid-2017 in Chengdu in south-central China.  The streets are about 369 meters southeast of where they appear on the satellite image (below):

china-google-maps

Puzzled, I panned the map to other locations in China.  The offsets varied, but they appeared everywhere in the country; for example, note the offset of 557 meters where a highway crosses the river at Dongyang, again to the southeast:

china-google-maps2

As of this writing, the offset appears in the same cardinal direction and only in China; indeed; After examining border towns with North Korea, Vietnam, and other countries, the offset appears to stop along those borders.  No offsets exist in Hong Kong nor in Macao.  Yahoo Maps Bing Maps both show the same types of offsets in China (Bing maps example, below):

china_bing

MapQuest, which uses an OpenStreetMap base, showed no offset.  I then tested ArcGIS Online with a satellite image base and the OpenStreetMap base, and there was no offset there, either (below).  This offset is a datum issue related to national security that is documented in this Wikipedia article.  The same data restriction issues that we discuss in our book and in our blog touch on other aspects of geospatial data, such as fines for unauthorized surveys, lack of geotagging information on many cameras when the GPS chip detects a location within China, and seeming unlawfulness of crowdsourced mapping efforts such as OpenStreetMap.

But furthermore, as we have noted, the satellite images are processed tiled and data sets, and like other data sets, they need to be critically scrutinized as well.  They should not be considered “reality” despite their appearance of being the “actual” Earth’s surface.  They too contain error, may have been taken on different dates or seasons, may be reprojected on a different datum, and other data quality aspects need to be considered.

china-agol

Another difference between these maps is the wide variation in the amount of detail in terms of the streets data in China.  The OpenStreetMap was the most complete; the other web mapping platforms offered a varying level of detail; some of which were seriously lacking, surprisingly especially in the year 2017, in almost every type of street except major freeways.  The streets content was much more complete in other countries.

It all comes back to identifying your end goals in using any sort of GIS or mapping package.  Being critical of the data can and should be part of the decision making process that you use and the choice of tools and maps to use.  By the time you read this, the image offset problem could have been resolved.  Great!  But are there now new issues of concern? Data sources, methods, and quality vary considerably among different countries. Furthermore, the tools and data change frequently, along with the processing methods, and being critical of the data is not just something to practice one time, but rather, fundamental to everyday work with GIS.

IndianaMap: Data and Visualization for Indiana

June 4, 2017 3 comments

IndianaMap is a resource for visualizing and accessing spatial data for the US state of Indiana.   The data source contains elements that other provinces, regional, and state governments might wish to adopt because as I see it, they are incredibly useful to the data user.  In addition, I keep talking with people who state that such adoption has helped them build internal support for their organization’s mission, and recommend examining IndianaMap for that reason as well as a model for how it could work.

One of my favorite things about IndianaMap is that it contains a map viewer, a map gallery, and a layer gallery, linked right at the top of the user interface.   At least 75 layers exist in this resource at the time of this writing.  Two that I was particularly glad to see were the geology layers and the historical 1990s Digital Orthophotoquads.  New imagery at 1 foot spatial resolution is also available.  Yes, 1 foot!  Each of the layers can be examined in more detail, previewed, its metadata viewed, or downloaded for use in desktop GIS software. Layers as map services can also be examined in a web based client, or one can choose to add the layer to the interface’s own Map View. Once you have explored layers of interest, you can use the “Add Content” tool on IndianaMap to quickly add, remove, and manage each layer. Each layer can be examined and saved as a favorite.  Sure enough, after I had used the tool, revisiting the site showed me the layers I had favorited in “My layers” so I could resume my work from a few days ago, right away.

On the Spatial Reserves blog, we often feature sites with a particularly useful user interface.  IndianaMap definitely achieves high quality marks in this regard.  Give it a try!

 

indianamap

User Interface for the Indiana Map showing bedrock geology, karst springs, and selecting one of my favorite parts of Indiana’s geology–its limestone.