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Table of Contents
User Guidelines for GIS Data
Assumes installation of the relevant tools: InstallationGuidelinesGISData
Import Data
UUIDs
We need an agreed set of UUIDs for GIS Data so that we can share data more easily across systems.
- OpenStreetMap IDs can change over time if records are deleted/recreated
- They can hold additional uid/uuid fields though
- Geonames data isn't free enough for OSM: http://wiki.openstreetmap.org/wiki/Geonames
- Geonet can be: http://wiki.openstreetmap.org/wiki/GEOnet_Names_Server
- Yahoo WoE data is in the public domain:
- Ushahidi doesn't have a common set of IDs across instances
- No space for a UUID either?
- Longer-term we need a common central repository of UUIDs that is held for the common good.
- Propose that Sahana start this off & then give up ownership/branding later:
- Sahana can use UUIDs of format: http://geo.sahanafoundation.org/<ID>
- These are associated with an OSM ID & Geonames ID for cross-correlation
- The Source ID field shows the source, so that OSM export can filter out sources like Geonames
- IDs from Ushahidi instances can be appended to the comments field in Sahana
Geonames
There is an import_geonames() function in S3GIS which downloads/unzips the country file (a TAB-separated list) from http://download.geonames.org/export/dump/
It should be run for the different level sof hierarchy that you wish to import (generally just the lowest level as Geonames just has Point data, so it's best to use other sources for the Polygons 1st, that way the Geonames importer can locate these Points within the correct Polygons of the hierarchy)
NB It takes some time to do this import! Pakistan imports 95000 locations!
Python 2.5 doesn't support Zipfile.extract() & Zipfile.read() isn't unicode-safe. Until this is fixed, download the file manually 1st:
cd ~web2py/applications/eden/cache wget http://download.geonames.org/export/dump/PK.zip unzip PK.zip
In Web2py CLI:
gis.import_geonames('PK', 'L5') db.commit()
Alternate approach:
- Transform each line in this file into XML by regular expression:
^(\d*)\t([^\t]*)\t([^\t]*)\t([^\t]*)\t([0-9\.]*)\t([0-9\.]*)\t[^\t]*\t([A-Z]*).* into: <location> <id>$1</id> <name>$2</name> <asciiName>$3</asciiName> <localNames>$4</localNames> <lat>$5</lat> <lon>$6</lon> <featureClass>$7</featureClass> </location>
This can be done using an RE-capable editor (e.g. Kate), Perl or even Python. Note: Need to replace & with & and to remove any invalid characters
- Transform into S3XRC-XML using XSLT, stylesheet is available at
OpenStreetMap
We have an XSLT stylesheet to import .osm files, but this needs work to understand the admin hierarchy properly.
- http://wiki.openstreetmap.org/wiki/Map_Features#Places
- http://wiki.openstreetmap.org/wiki/Placename_hierachies is_in tag
Geofabrik have updated extracts dailty for Pakistan:
Otherwise pull a BBOX directly using Osmosis:
Shapefiles
Inspect the data using qGIS.
Use ogr2ogr to convert the data:
ogr2ogr -f CSV CSV TM_WORLD_BORDERS-0.3.shp -lco GEOMETRY=AS_WKT ogr2ogr -f geojson TM_WORLD_BORDERS-0.3.json TM_WORLD_BORDERS-0.3.shp
If needing to reproject (e.g. for the Haiti Departements):
ogr2ogr -f CSV haiti_departments Haiti_departementes_edited_01132010.shp -s_srs EPSG:32618 -t_srs EPSG:4326 -lco GEOMETRY=AS_WKT
NB AS_WKT requires OGR v1.6+
There is a function available in modules/s3gis.py
to import from CSV.
Example for Pakistan:
db.gis_location.truncate() # L0 import csv csv.field_size_limit(2**20 * 10) # 10 megs db.import_from_csv_file(open('L0.csv','rb')) db.commit() # L1 gis.import_csv('pak_adm1.csv') db.commit() # L2 db(db.gis_location.name=="Baluchistan").update(name="Balochistan") db(db.gis_location.name=="Northern Areas").update(name="Gilgit Baltistan") db(db.gis_location.name=="N.W.F.P.").update(name="Khyber Pakhtunkhwa") db(db.gis_location.name=="F.A.T.A.").update(name="FATA") db(db.gis_location.name=="F.C.T.").update(name="Islamabad") db(db.gis_location.name=="Azad Kashmir").update(name="AJK") gis.import_csv('pak_adm2.csv') db(db.gis_location.name=="Sind").update(name="Sindh") db(db.gis_location.name=="AJK").update(name="Pakistan Administered Kashmir") db(db.gis_location.name=="Islamabad").update(name="Federal Capital Territory") db(db.gis_location.name=="FATA").update(name="Federally Administered Tribal Areas") db.commit() # L2 db(db.gis_location.name=="Islamabad Capital Territory").update(name="Islamabad") db(db.gis_location.name=="Jaccobabad").update(name="Jacobabad") db(db.gis_location.name=="Tando Allahyar").update(name="Tando Allah Yar") db(db.gis_location.name=="Qambar Shahdad kot").update(name="Qambar Shahdadkot") gis.import_csv('pak_adm3.csv') db(db.gis_location.name=="Islamabad").update(name="Islamabad Capital Territory") db(db.gis_location.name=="Tando Allah Yar").update(name="Tando Allahyar") db(db.gis_location.name=="Qambar Shahdadkot").update(name="Qambar Shahdad Kot") db.commit()
WFS
It is possible to use the WFS Plugin to get data into qGIS & thence export into other formats.
May need to use a Custom CRS (in Settings menu - remember to Save!) such as:
- ESRI's Spherical Mercator (different to 900913) http://spatialreference.org/ref/esri/54004/proj4/
Can then go to the Layer Properties & Specify CRS to this User Defined Coordinate System.
Can then Save As and change the CRS to something like the standard WGS84.
Display Data
GeoServer
GeoServer can provide geospatial data in Raster (WMS) or Vector (WFS/KML) formats.
Once you have installed (Linux, Windows), then login:
- l: admin
- p: geoserver
Configure:
- Admin Password
- Contact Details
- WFS Details
- WMS Details inc the Limited SRS List - probably to just:
4326, 900913
- Disable the demo Layers & Layer Groups
- Add Workspace
- Add PostGIS Store
Import Shapefiles
e.g. Country Outlines:
These can be loaded direct into GeoServer, however there will be better performance by importing into PostGIS:
(can also use pgAdmin III GUI's Shapefile loader on plugins menu)
su postgres shp2pgsql -s 4326 -I TM_WORLD_BORDERS-0.3.shp public.countries | psql -d gis
To reproject the data into 900913 for a slight performance advantage:
drop constraint srid; update table set geomcolumn=transform(geomcolumn,900913);
Configure GeoServer
Add WMS Layer to Sahana Eden
- tbc
Grid
tbc: BluePrintGISGrid
Topographic Maps
- http://wiki.openstreetmap.org/wiki/Contours
- Alternate approach: SRTM 2 OSM
Old Printed Maps
Old Printed Maps can be 'Rectified' to be overlaid on the base maps:
- http://warper.geothings.net/
- http://mike.teczno.com/notes/canvas-warp.html
- http://labs.metacarta.com/rectifier/
PostgreSQL management
- Connect to Database (or use pgAdmin III GUI's PSQL Console on plugins menu)
su postgres psql
or
psql -d my_spatial_db -U username
- List Databases
\l
- List Tables
\d
- List Table structure
\d tablename select field/* from tablename where field = 'value';
PostGIS functions
- Centroids
SELECT name, iso2, asText(ST_Transform(ST_Centroid(the_geom), 4326)) AS centroid FROM countries;
Data Sources
- VMap0: http://en.wikipedia.org/wiki/Vector_Map
- Admin 0 & 1, Hydro features, Raster & Vector: http://www.naturalearthdata.com/
- Admin 1-4: http://geonames.org
OGC (WMS/WFS)
- http://geonetwork-opensource.org/geonetwork-nodes
- http://www.ogc-services.net
- BlueMarble & Mosaic (!LandSat7): http://onearth.jpl.nasa.gov/
- Hazard Layers: http://preview.grid.unep.ch:8080/geoserver/ows?service=WMS&request=GetCapabilities
- Hazard Layers: http://www.pdc.org/mde/services.jsp
- Massachusetts: http://lyceum.massgis.state.ma.us/wiki/doku.php
Attachments (12)
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srtm.sld
(2.5 KB
) - added by 13 years ago.
Official SRTM styling
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topography.sld
(2.1 KB
) - added by 13 years ago.
Common Topography styling
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get.sh
(48.9 KB
) - added by 13 years ago.
Script to download SRTMv4 GeoTIFFs
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utf8.py
(1.0 KB
) - added by 13 years ago.
Encode GADM as UTF8
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geowebcache.xml
(9.5 KB
) - added by 13 years ago.
Configuration for GADM
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gadm_v1_lev0_base_sld.xml
(7.5 KB
) - added by 13 years ago.
SLD for GADM L0 Base Layer
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gadm_v1_lev0_overlay_sld.xml
(12.5 KB
) - added by 13 years ago.
SLD for GADM L0 Overlay
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gadm_v1_lev1_overlay_sld.xml
(12.0 KB
) - added by 13 years ago.
SLD for GADM L1 Overlay
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gadm_v1_lev2_overlay_sld.xml
(12.4 KB
) - added by 13 years ago.
SLD for GADM L2 Overlay
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populationDensity.sld
(1.4 KB
) - added by 13 years ago.
GPWv3 SLD
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moveWKT.py
(1.0 KB
) - added by 11 years ago.
Move WKT column to end of CSV
- KML2WKT.py (1.9 KB ) - added by 11 years ago.
Download all attachments as: .zip