Horizon DTC Integrator Day:The Geospatial Industry<br />Jeremy Morley,Steven Feldman<br />2nd December 2009<br />
Purpose<br />Scope of the geospatial industry<br />Exciting opportunities at the bleeding edge<br />Most projects have som...
Programme<br />2 – 3pm					Isn’t there geo in everything?<br />3 – 3.15pm			Break<br />3.15 – 3.50pm		Spatial is special<b...
Your words<br />
Geo in 2010(1 hour)<br />The industry now<br />Geospatial without the degree<br />My maps<br />GeoCommons<br />Google Eart...
Geocommons – screen-scraping university locations to a map<br />
mgr = new MarkerManager(map);<br />var lat = parseFloat(57.1650804282195);<br />varlng = parseFloat(-2.09906504822913);<br...
BEGIN {<br />print &quot;name, latitude, longitude” }<br />match($0,&quot;lat =&quot;) {<br />i = match($0 , &quot;[)]&quo...
name, latitude, longitude<br />&quot;The University of Aberdeen (A20)&quot;, 57.1650804282195, -2.09906504822913<br /> &qu...
Breakout session –“Where’s the geo in our projects?”<br />Four groups<br />15mins to work as a group to find geographic de...
Your words<br />Marketing Communications<br />recontextualized<br />social networks and virtual worlds <br />web 2.0 techn...
Your words<br />
Reporting<br />
Break!<br />
Spatial is special<br />
“How to lie with maps”<br />1 – change the map units<br />
Political context<br />Gerrymandering: adjusting political units to favour particular party<br />See: http://www.redistric...
The Modifiable Areal Unit Problem<br />&apos;the areal units (zonal objects) used in many geographical studies are arbitra...
Types of MAUP<br />Scale effect<br />The variation in numerical results that occurs due to the number of zones used in ana...
“How to lie with maps”<br />2 – extensive versus intensive<br />
Examples<br />Some examples here - taken from the work of Dr. Jason Dykes and Prof. David Unwin.<br />Part of Project Argu...
Example – total population<br />
Example – population density<br />
Types of values<br />We can divide polygon attributes into two types:<br />Spatially intensive<br />True possibly for any ...
“How to lie with maps”<br />3 – change the colouring<br />
Choice of classification is critical<br />Equal intervals<br />Quantile<br />
Example (from ESRI) – where are the kids?<br />
Spatial is special<br />Be careful with spatial reasoning<br />Be careful with map presentation<br />Spatial also special ...
Break!<br />
Geofutures<br />Geo in 2015<br />
Generating ideas<br />Some thinking time (20 mins)<br />What’s the geo problem I’d like solved?, or<br />How does this stu...
GeoVation Awards Program<br />£21,000 to promote and support innovation for social, economic and environmental benefit thr...
Purpose<br />Scope of the geospatial industry<br />Exciting opportunities at the bleeding edge<br />Most projects have som...
Wrap-up<br />What have you learnt?<br />Feedback: has this helped?<br />
Further Examples – zoning effects<br />&quot;How to Lie with Maps&quot; by Mark Monmonier(see Chapter 9 (first edition))<b...
Televisions per household<br />
Aggregation<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
Aggregation (2)<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
Aggregation (3)<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
Further examples – ecological fallacy<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />What’s ...
A consistent disaggregation<br />Number of TVs<br />Number of h&apos;holds<br />
Ecological Fallacy<br />Number of TVs<br />Number of h&apos;holds<br />
Ecological Fallacy<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
Ecological Fallacy<br />Same aggregated trend from different fine-scale detail.<br />
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Horizon DTC Integrator Event

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My part of the slide deck from the Integrator Event for the DTC PhD students, 2 Dec 2009. This includes the additional slides I mentioned on the Modifiable Areal Unit Problem.

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Horizon DTC Integrator Event

  1. 1. Horizon DTC Integrator Day:The Geospatial Industry<br />Jeremy Morley,Steven Feldman<br />2nd December 2009<br />
  2. 2. Purpose<br />Scope of the geospatial industry<br />Exciting opportunities at the bleeding edge<br />Most projects have some geo<br />What’s the geography, be it explicit or implicit, in your projects?<br />
  3. 3. Programme<br />2 – 3pm Isn’t there geo in everything?<br />3 – 3.15pm Break<br />3.15 – 3.50pm Spatial is special<br />3.50 – 4pm Break<br />4 – 4:40pm Geofutures (& why spatial isn’t special)<br />4.40 – 5pm Wrap-up<br />
  4. 4. Your words<br />
  5. 5. Geo in 2010(1 hour)<br />The industry now<br />Geospatial without the degree<br />My maps<br />GeoCommons<br />Google Earth<br />Breakout: “where’s the geo in our projects?”<br />
  6. 6.
  7. 7. Geocommons – screen-scraping university locations to a map<br />
  8. 8.
  9. 9. mgr = new MarkerManager(map);<br />var lat = parseFloat(57.1650804282195);<br />varlng = parseFloat(-2.09906504822913);<br />var point = new GLatLng(lat,lng);<br />array_points[1] = [];<br />array_points[1][&apos;point&apos;] = point;<br />var html = &apos;&lt;div style=&quot;width: 260px; padding-right: 10px&quot;&gt;&lt;h3&gt;The University of Aberdeen (A20)&lt;/h3&gt;&apos;+<br />&apos;University Office&lt;br /&gt;&apos; +<br />&apos;King&apos;s College&lt;br /&gt;&apos; +<br />&apos;Aberdeen&lt;br /&gt;&apos; +<br />&apos;AB24 3FX&lt;br /&gt;&apos; +<br />&apos;t: +44 (0) 1224 273504&lt;br /&gt;&apos; +<br />&apos;e: &lt;a href=&quot;mailto:sras@abdn.ac.uk&quot;&gt;sras@abdn.ac.uk&lt;/a&gt;&lt;br /&gt;&apos; +<br />&apos;w: &lt;a href=&quot;http://www.abdn.ac.uk/sras&quot; target=&quot;_blank&quot;&gt;www.abdn.ac.uk/sras&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&apos; + <br />&apos;&lt;a href=&quot;/students/choosingcourses/choosinguni/instguide/a/a20&quot;&gt;further details&lt;/a&gt;&apos;;<br />array_points[1][&apos;description&apos;] = html;<br />array_points[1][&apos;region&apos;] = &apos;11&apos;;<br />array_points[1][&apos;name&apos;] = &apos;The University of Aberdeen&apos;;<br />array_points[1][&apos;code&apos;] = &apos;A20’;<br />Javascript source for map, showing one university’s record. We can use the fixed structure to extract the information we want.<br />
  10. 10. BEGIN {<br />print &quot;name, latitude, longitude” }<br />match($0,&quot;lat =&quot;) {<br />i = match($0 , &quot;[)]&quot; )<br />lat = substr($0,22,i-22); }<br />match($0,&quot;lng =&quot;) {<br />i = match($0 , &quot;[)]&quot; )<br />lng = substr($0,22,i-22); }<br />{<br />i = match($0,&quot;/H3&gt;&quot;) + match($0,&quot;&lt;/h3&gt;&quot;)<br />if( i &gt; 0 ) {<br />j = match($0,&quot;&lt;H3&gt;&quot;) + match($0,&quot;&lt;h3&gt;&quot;)<br /> name = substr($0,j+4,i-(j+4))<br />gsub(&quot;,&quot;,&quot;-&quot;,name)<br />printf &quot;%s, %s, %s &quot;,&quot;&quot;&quot; name &quot;&quot;&quot;, lat, lng<br /> }<br />}<br />Unix ‘awk’ script to extract and format the text<br />
  11. 11. name, latitude, longitude<br />&quot;The University of Aberdeen (A20)&quot;, 57.1650804282195, -2.09906504822913<br /> &quot;University of Abertay Dundee (A30)&quot;, 56.4634, -2.9726<br /> &quot;Aberystwyth University (A40)&quot;, 52.4147760680295, -4.08403520146778<br /> &quot;ALRA (The Academy of Live and Recorded Arts) (A42)&quot;, 51.4551, -0.1730 <br /> &quot;Accrington & Rossendale College (A44)&quot;, 53.7549, -2.3714 <br /> &quot;The College of Agriculture- Food and Rural Enterprise (A45)&quot;, 54.6986, -6.2152 <br /> &quot;American InterContinental University - London (A50)&quot;, 51.5188, -0.1516 <br /> &quot;Anglia Ruskin University (A60)&quot;, 51.7412476988799, 0.474334439742583<br /> &quot;Anglo European College of Chiropractic (A65)&quot;, 50.7262, -1.8243 <br /> &quot;Askham Bryan College (A70)&quot;, 53.9110, -1.1053 <br /> &quot;Aston University- Birmingham (A80)&quot;, 52.4860, -1.8895 <br />Comma-separated variables file, ready for import into Geocommons<br />
  12. 12. Breakout session –“Where’s the geo in our projects?”<br />Four groups<br />15mins to work as a group to find geographic dependencies, and analysis, in your projects<br />20mins: each group has 5mins to give examples of their geographic content<br />
  13. 13. Your words<br />Marketing Communications<br />recontextualized<br />social networks and virtual worlds <br />web 2.0 technologies for public engagement and activism <br />ways people divide up and structure information <br />interactive handheld guide <br />innovative solutions in the transport sector <br />spatial cognition <br />learning with technology<br />environmental sensors and location-aware technology <br />
  14. 14. Your words<br />
  15. 15. Reporting<br />
  16. 16. Break!<br />
  17. 17. Spatial is special<br />
  18. 18. “How to lie with maps”<br />1 – change the map units<br />
  19. 19. Political context<br />Gerrymandering: adjusting political units to favour particular party<br />See: http://www.redistrictinggame.org<br />
  20. 20. The Modifiable Areal Unit Problem<br />&apos;the areal units (zonal objects) used in many geographical studies are arbitrary, modifiable, and subject to the whims and fancies of whoever is doing, or did, the aggregating.&quot;(Openshaw, 1984 p.3)<br />Openshaw and Taylor&apos;s (1979):The results of statistical analysis of data for spatial zones can be varied at will by changing the zonal boundaries.<br />
  21. 21. Types of MAUP<br />Scale effect<br />The variation in numerical results that occurs due to the number of zones used in analysis.<br />E.g. tendency towards smoother statistics with larger aggregation areas<br />Zoning effect (Gerrymandering)<br />The variation induced by the choice of units in which to collect data, or to aggregate to.<br />Ecological Fallacy<br />The error in thinking that the results of an aggregated area can be uniquely distributed to constituent parts<br />
  22. 22. “How to lie with maps”<br />2 – extensive versus intensive<br />
  23. 23. Examples<br />Some examples here - taken from the work of Dr. Jason Dykes and Prof. David Unwin.<br />Part of Project Argus<br />Using data from the 1991 Population Census for Leicestershire, UK<br />187 wards of varying size and character<br />http://www.agocg.ac.uk/sosci/casestudies/dykes/dykes.pdf<br />
  24. 24. Example – total population<br />
  25. 25. Example – population density<br />
  26. 26. Types of values<br />We can divide polygon attributes into two types:<br />Spatially intensive<br />True possibly for any part of the area (if the area is homogeneous), e.g. densities, rates, proportions<br />A field value, averaged over the area<br />Spatially extensive<br />True only for the entire area, e.g. total population<br />Integration (summation) of the field over the area<br />Usually misleading – convert to intensive/normalised<br />
  27. 27. “How to lie with maps”<br />3 – change the colouring<br />
  28. 28. Choice of classification is critical<br />Equal intervals<br />Quantile<br />
  29. 29. Example (from ESRI) – where are the kids?<br />
  30. 30. Spatial is special<br />Be careful with spatial reasoning<br />Be careful with map presentation<br />Spatial also special in data structure<br />Spatial representations:<br />Points / lines /polygons (e.g. road map)<br />Topological relationships (e.g. adjacency)<br />Continuous fields (e.g. temperature)<br />
  31. 31. Break!<br />
  32. 32. Geofutures<br />Geo in 2015<br />
  33. 33.
  34. 34. Generating ideas<br />Some thinking time (20 mins)<br />What’s the geo problem I’d like solved?, or<br />How does this stuff change my research focus?<br />Or, what’s the geo data I need and don’t have?<br />Reporting:<br />How does this fit my research direction?<br />Could this be part of my feasibility project?<br />Or, what outside interest might incorporate geo ?<br />ACTION: what do I need to do next?<br />
  35. 35. GeoVation Awards Program<br />£21,000 to promote and support innovation for social, economic and environmental benefit through the use of geography<br />https://challenge.geovation.org.uk/<br />
  36. 36. Purpose<br />Scope of the geospatial industry<br />Exciting opportunities at the bleeding edge<br />Most projects have some geo<br />What’s the geography, be it explicit or implicit, in your projects?<br />
  37. 37. Wrap-up<br />What have you learnt?<br />Feedback: has this helped?<br />
  38. 38. Further Examples – zoning effects<br />&quot;How to Lie with Maps&quot; by Mark Monmonier(see Chapter 9 (first edition))<br />Number of televisions<br />Number of households<br />
  39. 39. Televisions per household<br />
  40. 40. Aggregation<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
  41. 41. Aggregation (2)<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
  42. 42. Aggregation (3)<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
  43. 43. Further examples – ecological fallacy<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />What’s the pattern in the original cells?<br />
  44. 44. A consistent disaggregation<br />Number of TVs<br />Number of h&apos;holds<br />
  45. 45. Ecological Fallacy<br />Number of TVs<br />Number of h&apos;holds<br />
  46. 46. Ecological Fallacy<br />Number of TVs<br />Number of h&apos;holds<br />TVs per h&apos;hold<br />
  47. 47. Ecological Fallacy<br />Same aggregated trend from different fine-scale detail.<br />

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