science/py-earthpy: adding a tool to plot and manipulate spatial data in Python
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Thierry Thomas
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c86a2b506c
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SUBDIR += py-dwave-system
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SUBDIR += py-dwave-tabu
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SUBDIR += py-dwavebinarycsp
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SUBDIR += py-earthpy
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SUBDIR += py-eccodes
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SUBDIR += py-esda
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SUBDIR += py-fresnel
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science/py-earthpy/Makefile
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science/py-earthpy/Makefile
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PORTNAME= earthpy
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PORTVERSION= 0.9.4
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CATEGORIES= science geography python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= thierry@FreeBSD.org
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COMMENT= Plot and manipulate spatial data in Python
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WWW= https://github.com/earthlab/earthpy
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LICENSE= BSD3CLAUSE
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYNUMPY} \
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${PYTHON_PKGNAMEPREFIX}requests>=0:www/py-requests@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}rasterio>=0:graphics/py-rasterio@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}matplotlib>=0:math/py-matplotlib@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}geopandas>=0:graphics/py-geopandas@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}scikit-image>=0:graphics/py-scikit-image@${PY_FLAVOR}
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RUN_DEPENDS= ${PYNUMPY} \
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${PYTHON_PKGNAMEPREFIX}requests>=0:www/py-requests@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}rasterio>=0:graphics/py-rasterio@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}matplotlib>=0:math/py-matplotlib@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}geopandas>=0:graphics/py-geopandas@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}scikit-image>=0:graphics/py-scikit-image@${PY_FLAVOR}
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USES= python:3.7+
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USE_PYTHON= distutils
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.include <bsd.port.mk>
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science/py-earthpy/distinfo
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science/py-earthpy/distinfo
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TIMESTAMP = 1667554646
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SHA256 (earthpy-0.9.4.tar.gz) = 16ec2831ec87ace9d70473ef23840b6bf3cd239e178b9ddb5767da86e5a34c1b
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SIZE (earthpy-0.9.4.tar.gz) = 1366501
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science/py-earthpy/pkg-descr
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science/py-earthpy/pkg-descr
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Python is a generic programming language designed to support many different
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applications. Because of this, many commonly performed spatial tasks for science
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including plotting and working with spatial data take many steps of code.
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EarthPy builds upon the functionality developed for raster data (rasterio) and
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vector data (geopandas) in Python and simplifies the code needed to:
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- Stack and crop raster bands from data such as Landsat into an easy to use
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numpy array;
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- Work with masks to set bad pixels such a those covered by clouds and
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cloud-shadows to NA (mask_pixels());
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- Plot rgb (color), color infrared and other 3 band combination images
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(plot_rgb());
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- Plot bands of a raster quickly using plot_bands();
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- Plot histograms for a set of raster files;
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- Create discrete (categorical) legends;
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- Calculate vegetation indices such as Normalized Difference Vegetation Index
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(normalized_diff());
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- Create hillshade from a DEM.
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EarthPy also has an io module that allows users to
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- Quickly access pre-created data subsets used in the earth-analytics courses
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hosted on www.earthdatascience.org;
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- Download other datasets that they may want to use in their workflows.
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science/py-earthpy/pkg-plist
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science/py-earthpy/pkg-plist
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%%PYTHON_SITELIBDIR%%/earthpy/__init__.py
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/__init__.cpython-%%PYTHON_SUFFIX%%.opt-1.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/__init__.cpython-%%PYTHON_SUFFIX%%.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/clip.cpython-%%PYTHON_SUFFIX%%.opt-1.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/clip.cpython-%%PYTHON_SUFFIX%%.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/io.cpython-%%PYTHON_SUFFIX%%.opt-1.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/io.cpython-%%PYTHON_SUFFIX%%.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/mask.cpython-%%PYTHON_SUFFIX%%.opt-1.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/mask.cpython-%%PYTHON_SUFFIX%%.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/plot.cpython-%%PYTHON_SUFFIX%%.opt-1.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/plot.cpython-%%PYTHON_SUFFIX%%.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/spatial.cpython-%%PYTHON_SUFFIX%%.opt-1.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/__pycache__/spatial.cpython-%%PYTHON_SUFFIX%%.pyc
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%%PYTHON_SITELIBDIR%%/earthpy/clip.py
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/blue.tif
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/colorado-counties.geojson
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/colorado-glaciers.geojson
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/continental-div-trail.geojson
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/epsg.json
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/green.tif
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/red.tif
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/rmnp-dem.tif
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/rmnp-rgb.tif
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/rmnp.dbf
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/rmnp.prj
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/rmnp.shp
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%%PYTHON_SITELIBDIR%%/earthpy/example-data/rmnp.shx
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%%PYTHON_SITELIBDIR%%/earthpy/io.py
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%%PYTHON_SITELIBDIR%%/earthpy/mask.py
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%%PYTHON_SITELIBDIR%%/earthpy/plot.py
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%%PYTHON_SITELIBDIR%%/earthpy/spatial.py
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