Fast reading, analyzing, manipulating, and writing vector GIS data in Julia. This package:
- Works with feature data as a DataFrame
- Stores coordinate reference system (crs) info with the DataFrame and uses it automatically
- Uses a custom geometry type to interface with GDAL and GEOS for fast I/O and operations
The SimpleFeatures
package aims to simplify working with geospatial data in Julia.
This package currently offers some basic spatial operations, and more will be added in the future. See docs for more info and examples.
This package creates a SimpleFeature
custom type that effectively functions as a DataFrame containing feature data but also contains projection and geometry type info.
Geometries are represented as another custom type called sfgeom
. The sfgeom
type follows the GeoInterface standard, so it can be converted into other geometry types and GeoInterface functions will work.
Example:
SimpleFeature
---------
geomtype: wkbPolygon
crs: PROJCRS["NAD83(2011) / UTM zone 17N",BASEGEOGCRS["NAD83(2011)",DATUM["NAD83 (National Spatial Refere..."
---------
features:
1000×2 DataFrame
Row │ geom lyr.1
│ sfgeom Int32
──────┼─────────────────────────────────────
1 │ POLYGON ((853787 3905499,... 1
2 │ POLYGON ((853800 3905499,... 1
3 │ POLYGON ((853803 3905499,... 1
⋮ │ ⋮ ⋮
998 │ POLYGON ((904045 3905468,... 1
999 │ POLYGON ((905355 3905468,... 1
1000 │ POLYGON ((905561 3905469,... 1
994 rows omitted
To directly access the DataFrame, crs info, or geometry info, just add .df
, .crs
, or .geomtype
at the end of your SimpleFeature
object's name.
Disclaimer: This package is very young and under active development. More tests and checks (e.g., making sure projections match before performing operations) need to be added. See License.md for additional details.
SimpleFeatures
can be installed from the Pkg REPL (press ]
in the Julia REPL):
pkg> add SimpleFeatures
Or install from GitHub for the latest:
using Pkg
Pkg.add("https://github.com/acgold/SimpleFeatures.jl.git")