GeoDataFrames
Simple geographical vector interaction built on top of ArchGDAL. Inspiration from geopandas.
** this is a beta, it needs polishing **
Installation
]add GeoDataFrameUsage
Writing
using GeoDataFrames; const GDF=GeoDataFrames
using DataFrames
coords = zip(rand(10), rand(10))
df = DataFrame(geom=createpoint.(coords), name="test");
GDF.write("test_points.shp", df)You can also set options such as the layername or crs.
using GeoFormatTypes; const GFT = GeoFormatTypes
GDF.write("test_points.shp", df; layer_name="data", geom_column=:geom, crs=GFT.EPSG(4326))Reading
df = GDF.read("test_points.shp")
10×2 DataFrame
Row │ name geom
│ String IGeometr…
─────┼───────────────────────────────────────────
1 │ test Geometry: POINT (0.2360926400353…
2 │ test Geometry: POINT (0.2445619453460…
3 │ test Geometry: POINT (0.4504663468371…
4 │ test Geometry: POINT (0.0886989855586…
5 │ test Geometry: POINT (0.0323344938606…
6 │ test Geometry: POINT (0.1574232985696…
7 │ test Geometry: POINT (0.9677152948776…
8 │ test Geometry: POINT (0.0047328946715…
9 │ test Geometry: POINT (0.7389241862917…
10 │ test Geometry: POINT (0.1207370929831…You can also specify the layer index or layer name in opening, useful if there are multiple layers:
GDF.read("test_points.shp", 0)
GDF.read("test_points.shp", "test_points")Any keywords arguments are passed on to the underlying ArchGDAL read function:
GDF.read("test.csv", options=["GEOM_POSSIBLE_NAMES=point,linestring", "KEEP_GEOM_COLUMNS=NO"])Geometric operations
df.geom = buffer(df.geom, 10);
df
10×2 DataFrame
Row │ name geom
│ String IGeometr…
─────┼───────────────────────────────────────────
1 │ test Geometry: POLYGON ((20.638287717…
2 │ test Geometry: POLYGON ((20.885374828…
3 │ test Geometry: POLYGON ((20.270896831…
4 │ test Geometry: POLYGON ((20.023799591…
5 │ test Geometry: POLYGON ((20.802042371…
6 │ test Geometry: POLYGON ((20.695573646…
7 │ test Geometry: POLYGON ((20.902189040…
8 │ test Geometry: POLYGON ((20.114554257…
9 │ test Geometry: POLYGON ((20.599242971…
10 │ test Geometry: POLYGON ((20.937183925…Reprojection
using GeoFormatTypes; const GFT=GeoFormatTypes
df.geom = reproject(df.geom, GFT.EPSG(4326), GFT.EPSG(28992))
df
10×2 DataFrame
Row │ geom name
│ IGeometr… String
─────┼───────────────────────────────────────────
1 │ Geometry: POLYGON ((-461372.5299… test
2 │ Geometry: POLYGON ((-405767.2483… test
3 │ Geometry: POLYGON ((-423945.8813… test
4 │ Geometry: POLYGON ((-426947.9961… test
5 │ Geometry: POLYGON ((-424503.7859… test
6 │ Geometry: POLYGON ((-412986.0226… test
7 │ Geometry: POLYGON ((-453290.1043… test
8 │ Geometry: POLYGON ((-480255.6989… test
9 │ Geometry: POLYGON ((-418753.1604… test
10 │ Geometry: POLYGON ((-435978.6036… testPlotting
using Plots
plot(df.geom)
TODO
- Prepared geometry, spatial indices (LibGEOS) (probably can't be done as GDAL OGR is not directly compatible)
- IGeometry should be IGeometry{WKBType} for easy Schema detection, fix upstream
- Empty geom column name fix should be moved upstream
- More drivers selected on extension
- CRS stored in metadata
- Work on Geointerface integration
- Work on spatial joins/filters
- Override showing of WKT geometry on print for performance