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Geospatial analysis in Python

Project description

Karta streamlines processing raster and vector geographical data in Python.

Create vector geometries:

point = Point((-130.0, 52.0), crs=LonLatWGS84)

line = read_geojson("linedata.json")

polygon = Polygon([(-515005.78, -1301130.53),
                   (-579174.89, -1282271.94),
                   (-542977.83, -1221147.82),
                   (-437864.05, -1251641.55),
                   (-438160.72, -1252421.48),
                   (-437961.28, -1285314.00)],
                   crs=NSIDCNorth)

Perform simple queries:

point2 = Point((-25.0, 48.0), crs=LonLatWGS84)
point.distance(point2)          # Distance in geographical units

line.intersects(polygon)        # True or False

ch = polygon.convex_hull()      # Returns a new polygon
ch.to_shapefile("poly.shp")

Work with raster data:

grid = read_gtiff("landsat_scene.tif")  # Leverages GDAL

grid.profile(line)              # Collect data along a line

grid.resample(500.0, 500.0)     # Return a grid resampled at a new resolution

Karta works with Python 2 and 3. Suggestions, bug reports, test cases, and pull requests are welcome.

DOCUMENTATION

See the webpage and the manual.

The manual can also be built offline using Sphinx by running make from the doc/ subdirectory. The documentation is built from source code docstrings and the example IPython notebooks, which are also reproduced in the Wiki. Building the documentation requires Sphinx, alabaster and numpydoc.

DEPENDENCIES

Required

  • numpy

  • blosc

  • GDAL

  • pyproj

When installing from PyPI, C source code is provided. When building from sources, Cython is required.

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