GI2014 ppt kozuch_p4b_map_compositions

Map compositions of Plan4Business Project

KOZHUKH Dzmitry ([email protected])

BERZINS Raitis ([email protected])

CHARVAT Karel ([email protected] )

GI2014 – GI/GIS/GDI – Forum Open GeoData Movement in Europe of Regions

14. Grenzüberschreitendes Sächsisches GIS – Forum am 29./30. April 2014 in Dresden

mailto:[email protected]



Thematic Map Viewer application:

• Available at http://www.whatstheplan.eu/viewer



http://www.whatstheplan.eu/viewer

Objective of Thematic Map Viewer application:

• Enable users of the application to do initial (visual) exploration of data that can be useful for various decisions related to planning (found factory, buy summer cottage for family, open a store)



Structure of Thematic Map Viewer:



Catalogue part of Thematic Map Viewer:



Creation of a composition for Thematic Map Viewer:



1) load data to database

2) createWMS service

3) styleWMS service

4) combine appropriateWMS services

5) save composition (*.hsl modification of *.wmc)

Workflow: Tools:

LAYMAN or manual with shp2pgsql/ogr2ogr etc.

LAYMAN or manual with mapserver, geoserver

LAYMAN or manual with mapserver, geoserver, R

Map Creator

Map Creator

Customized map diagrams with R:


















Dot density maps with R:

Package maptools

Function dotsInPolys

Use in pl/r function to create geometry collection of points: CREATE OR REPLACE FUNCTION dot_density_map(g1 text, s1 integer, v1 integer)

RETURNS geometry AS

$BODY$

library(rgeos)

library(sp)

library(maptools)

d<-readWKT(g1,p4s=CRS(paste('+init=epsg:',s1,sep='')))

dots.rand <- dotsInPolys(d, v1, f="regular", compatible=FALSE)

text_r<-writeWKT(dots.rand)

result <- pg.spi.exec(paste('select st_geomfromtext(','\'',text_r,'\',',s1,') as geom;'));

return(result$geom)

$BODY$

LANGUAGE plr VOLATILE

Use ST_Union with ST_CollectionExtract functions of PostGIS to make MultiPoint layer



Dot density maps with R:



Techniques of thematic cartography used:

1) Choropleth

2) Structured choropleth

3) Proportional symbols

4) Pie chart diagram maps

5) Square pie chart diagram maps

6) ‘Butterfly’ graph diagram maps

7) Isotype diagram maps

8) Comparative bar diagram maps

9) Pyramid diagram maps

10) Proportional spherical diagram maps

11) Dot density maps

12) Area qualitative maps



Other map examples:



Comparison of Thematic Map Viewer with other web-map applications:

• L'Atlas Interactif des Régions Européennes (AIRE) (http://aire.ums-riate.fr/fr#content/index.fr.php)

• Bremen Election Atlas: Federal Elections 2009 (http://www.statistik-bremen.de/tabellen/wahlen/Wahlatlasbtw2009_english/atlas.html)

• De Nationale Atlas van Nederland – 3e editie (http://geoserver.itc.nl/NatAtlas/NatAtlasViewer/NatAtlasViewer.html#)

• ESRI Demographic Atlas of USA (http://atlas.esri.com/Atlas/)

• EUROSTAT statistical atlas: Regional yearbook 2013 (http://ec.europa.eu/eurostat/statistical-atlas/gis/viewer/)

• HyperAtlas (http://hypercarte.espon.eu/HyperCarte/)

• Interactive statistical atlas of Slovenia (http://stat.monolit.si/)

• Swiss Statistical Atlas (http://www.atlas.bfs.admin.ch/core/projects/13/de-de/viewer.htm?13.0.de)



Parameters of comparison:

• Basic map controls

• Way to get information about selected feature

• Layer controls

• Topics of contained maps

• Multiscaling

• Number of contained maps

• Year of the most actual data present in atlas

• Number of cartographic technics used for visualizations



Maps from the other applications:









Differences:

Atlas name Multi-scale Number of maps Number of techniques from thematic cartography used

AIRE atlas Yes (user selects NUTS level from

drop-down menu) 36

6 (choropleth,proportional symbols, discontinuity lines,

anamorphose(cartogram), grid choropleth, potential isolines)

Bremen Election Atlas No (with zooming units still the same

and no visible generalization occurs) 33 1 (choropleth)

De Nationale Atlas van

Nederland – 3e editie No (not even zoomable) 29 2 (choropleth, proportional symbols)

ESRI Demographic Atlas of USA Yes (with zooming user sees statistics

for smaller administrative units) 20 1 (choropleth)

EUROSTAT statistical atlas:

Regional yearbook 2013

No (each map has definied NUTS level

for which it is made) 78 1 (choropleth)

HyperAtlas Yes (user selects NUTS level from

drop-down menu) 24 2 (choropleth, proportional symbols)

Interactive statistical atlas of

Slovenia

Yes (user can switch between

regions/municipalities, also clicking on

a region zooms in it's municipalities)

107 2 (choropleth, anamorphose(cartogram))

Swiss Statistical Atlas Yes (user selects level from drop-down

list) >2000 3 (choropleth, graduated symbols,pie chart diagram maps)

Thematic Map Viewer

Yes (in vas majority of maps user sees

data for smaller administraive unit with

zooming

47

>10 (choropleth, structured choropleth, proportional symbols, pie chart

diagram maps, square pie chart diagram maps, 'butterfly' graph diagram

maps, isotype diagram maps, comparative bar diagram maps, demographic

pyramid diagram maps, proportional spherical diagram maps, area

qualitative maps, dot density maps)



Biggest difference:



• Number of techniques used

Future improvements of Thematic Map Viewer:



• Evaluating techniques of thematic cartography from the point of view of visualizing multi-temporal data (WMS-T services) step by step:

• Doing synthetic thematic maps – maps that combine several indicators in variety of ways (show correlation between indicators, sum of indicators etc.) and visualize these synthetic measures



Thanks for your attention!

Internet

GI2014 ppt kozuch_p4b_map_compositions