For Windows and Mac users
sudo apt-get install postgresql postgis
To create a spatially enabled database
CREATE DATABASE workshop; \c workshop; CREATE EXTENSION postgis; CREATE EXTENSION postgis_topology;
Click here to download the datasets that will be used for the exercises below. Note that all files are in Latitude/Longitude (WGS84 datum).
sum(expression) aggregate to return a sum for a set of records
count(expression) aggregate to return the size of a set of records
ST_GeometryType(geometry) returns the type of the geometry
ST_SRID(geometry) returns the spatial reference identifier number of the geometry
ST_X(point) returns the X ordinate
ST_Y(point) returns the Y ordinate
ST_Length(linestring) returns the length of the linestring
ST_StartPoint(geometry) returns the first coordinate as a point
ST_EndPoint(geometry) returns the last coordinate as a point
ST_Area(geometry) returns the area of the polygons
ST_Perimeter(geometry) returns the length of all the rings
ST_AsSVG(geometry) returns SVG text
Sum the area of all seas
SELECT iho_sea, sum(ST_Area(eez_iho.geom)) as area FROM eez_iho GROUP BY iho_sea ORDER BY area DESC
Extract latitudes and longitudes of each occurrence for “Delpinus delphis”. Note: we have to use a subquery and the ST_Dump function in this case because the whale occurrence data was imported as a MULTIPOINT data and ST_X/ST_Y expects POINT data.
SELECT ST_X(geom), ST_Y(geom) FROM (SELECT (ST_Dump(geom)).geom FROM obis_whales WHERE tname='Delphinus delphis') a
ST_Contains(geometry A, geometry B): Returns true if and only if no points of B lie in the exterior of A, and at least one point of the interior of B lies in the interior of A.
ST_Crosses(geometry A, geometry B): Returns TRUE if the supplied geometries have some, but not all, interior points in common.
ST_Disjoint(geometry A , geometry B): Returns TRUE if the Geometries do not “spatially intersect” - if they do not share any space together.
ST_Distance(geometry A, geometry B): Returns the 2-dimensional cartesian minimum distance (based on spatial ref) between two geometries in projected units.
ST_DWithin(geometry A, geometry B, radius): Returns true if the geometries are within the specified distance (radius) of one another.
ST_Equals(geometry A, geometry B): Returns true if the given geometries represent the same geometry. Directionality is ignored.
ST_Intersects(geometry A, geometry B): Returns TRUE if the Geometries/Geography “spatially intersect” - (share any portion of space) and FALSE if they don’t (they are Disjoint).
ST_Overlaps(geometry A, geometry B): Returns TRUE if the Geometries share space, are of the same dimension, but are not completely contained by each other.
ST_Touches(geometry A, geometry B): Returns TRUE if the geometries have at least one point in common, but their interiors do not intersect.
ST_Within(geometry A , geometry B): Returns true if the geometry A is completely inside geometry B
Count the occurrences of each species of whales found in Canadian waters.
SELECT a.tname, count(*) as num FROM obis_whales a, eez_iho b WHERE ST_Within(a.geom,b.geom) AND b.country='Canada' GROUP BY a.tname ORDER BY num DESC
SELECT a.* FROM obis_whales a, tm_world b WHERE ST_DWithin(a.geom,b.geom,1) AND b.name='Canada
Doing it with a distance in meters
CREATE TABLE ce03_gbif_occ AS SELECT a.*, count(b.geom) as num_occ FROM cer03 a LEFT JOIN gbif_mammals b ON (ST_Within(a.geom,b.geom)) GROUP BY a.id
CREATE TABLE routes_test AS SELECT (ST_Dump(ST_Intersection(section_vote_31h5_utm.geom,routes_utm.geom))).geom as geom FROM section_vote_31h5_utm, routes_utm WHERE tri_cep='CHATEAUGUAY'
SELECT sum(ST_Length(geom)) FROM (SELECT (ST_Dump(ST_Intersection(section_vote_31h5_utm.geom,routes_utm.geom))).geom as geom FROM section_vote_31h5_utm, routes_utm WHERE tri_cep='CHATEAUGUAY') a
SELECT avg(elevation) FROM elevation_utm a, section_vote_31h5_utm b WHERE ST_Within(a.geom,b.geom) AND tri_cep='OUTREMONT'
raster. A raster layer. vector. A vector layer. table. A table. number. A numerical value. A default value must be provided. For instance, depth=number 2.4. string. A text string. As in the case of numerical values, a default value must be added. For instance, name=string Victor. boolean. A boolean value. Add True or False after it to set the default value. For example, verbose=boolean True. multiple raster. A set of input raster layers. multiple vector. A set of input vector layers. field. A field in the attributes table of a vector layer. The name of the layer has to be added after the field tag. For instance, if you have declared a vector input with mylayer=vector, you could use myfield=field mylayer to add a field from that layer as parameter. folder. A folder. file. A filename.
Generate bar graph showing the area of each sea located within a distance of 0.5 degrees from the coast of a chosen country
1 - Open the processing toolbox, click on R Script…Tools…Create New R Script.
2 - Copy and paste the following code into the R Script and save it as Countries_Zones_Plot
##QCBS Workshop=group ##Layer=vector ##showplots data2=tapply(Layer$new_area,Layer$IHO_Sea,mean) par(mar=c(10,4,4,2)) barplot(data2, las=2)
3 - Open the Graphical Modeler
4 - Specify “Country Seas” as the Model name and “QCBS Workshop” as the group.
5 - Add a Vector Layer to the Model, name it “Country” and specify Polygon as shape type.
6 - Add a Strong to the Model, name it “Country Name”.
7 - Add “Extract by attributes” to the model (Under QGIS geoalgorithms). Specify Country as the Input Layer, = as the operator, NAME as the Selection Attribute and select Country_Name as the Value.
8 - Add a Fixed Distance Buffer to the model. Specify Output from Extract by Attributes as the Input, and set a Distance of 0.5. Choose to dissolve the output.
9- Add another Vector Layer to the model. Name it Zones. Set Polygon as the shape type.
10 - Add Intersection to the model. Intersect between the output of the Buffer and the Zones layer.
11 - Add Field Calculator to the model. Specify new_area as the Result Field Name and $area as the Formula.
12 - Now Add your R script from Step 2 (Countries_Zones_Plot) to the model. The input is the output from 11 (Field Calculator), Call the output Country_Seas.
Your model should now look like this:
13 - Now your model is ready to be run! First Save the Model and call it Country_Seas. Then close the Graphical Modeler and double click on your Model in the Toolbox under Models…. Specify TM_World_Borders as the Countries and EEZ_IHO_union_v2 as the Zones. Specify the name of a Country (ex. Canada).
14 - When the algorithm finishes running, you should see a graph showing the area of each sea along the coast of the chosen country.