svgis 0.5.3

SVGIS

Create SVG drawings from vector geodata files (SHP, geojson, etc).

SVGIS is great for: creating small multiples, combining lots of datasets in a sensible projection, and drawing styled based on classes in the source data. It's perfect for creating base maps for editing in a drawing program, and its CSS-based styling gives great flexibility for styling.

svgis draw input.shp -o out.svg
svgis draw south_dakota.shp north_dakota.geojson -o dakota.svg
svgis draw england.shp scotland.shp wales.shp --style gb.css -o great_britain.svg

Complete documentation, with more examples and explanation of classes and methods: https://svgis.readthedocs.io/en/stable/

Install

Requires fiona, which in turn requires GDAL.

See the GDAL docs for install info.

Then:

pip install svgis

An optional feature of svgis is clipping polygons to a bounding box. This will speed things up if you need to draw only part of a very complex feature.

pip install 'svgis[clip]'

Commands

The svgis command line tool includes several utilities. The most important is svgis draw, which draws SVG maps based on input geodata layers.

Additional commands:

• svgis bounds: get the bounding box for a layer in a given projection
• svgis graticule: create a graticule (grid) within a given bounds
• svgis project: determine what projection svgis draw will (optionally) generate for given bounding box
• svgis scale: change the scale of an existing SVG
• svgis style: add css styles to an existing SVG

Read the docs for complete information on these commands and their options.

Examples

Draw the outline of the contiguous United States, projected in Albers:

curl -O http://www2.census.gov/geo/tiger/GENZ2014/shp/cb_2014_us_nation_20m.zip
unzip cb_2014_us_nation_20m.zip
svgis draw cb_2014_us_nation_20m.shp --crs EPSG:5070 --scale 1000 --bounds -124 20.5 -64 49 -o us.svg

The next two examples use the Natural Earth admin-0 data set.

Draw upper income countries in green, low-income countries in blue:

/* style.css */
.income_grp_5_Low_income {
    fill: blue;
}
.income_grp_3_Upper_middle_income {
    fill: green
}
.ne_110m_lakes {
    fill: #09d;
    stroke: none;
}

svgis draw --style style.css --class-fields income_grp ne_110m_admin_0_countries.shp ne_110m_lakes.shp -o out.svg

Draw national boundaries and lakes in Europe using the LAEA Europe projection, simplifying the output polygons, and coloring Germany in purple.

svgis draw ne_110m_admin_0_countries.shp ne_110m_lakes.shp \
    --crs EPSG:3035 \ 
    --scale 1000 \ 
    --simplify 90 \ 
    --style '.ne_110m_admin_0_countries { fill: tan } #Germany { fill: purple }' \
    --style '.ne_110m_lakes { fill: #09d; stroke: none; }' \ 
    --id-field name \ 
    --bounds -10 30 40 65 \ 
    -o out.svg