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Add py-mgwr 2.1.2

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Multiscale Geographically Weighted Regression (MGWR)

mgwr is a Python implementation of multiscale geographically weighted regression
for investigating process spatial heterogeneity and scale. It incorporates the
widely used approach to modeling process spatial heterogeneity - Geographically
Weighted Regression (GWR) as well as the newly proposed approach - Multiscale
GWR (MGWR) which relaxes the assumption that all of the processes being modeled
operate at the same spatial scale. Inferences are available for both approaches.

WWW: https://mgwr.readthedocs.io/en/latest/
WWW: https://github.com/pysal/mgwr
This commit is contained in:
Sunpoet Po-Chuan Hsieh 2021-01-03 19:57:12 +00:00
parent 6d4801b5be
commit afe18dab4c
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=560042
4 changed files with 42 additions and 0 deletions
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graphics/Makefile
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SUBDIR += py-leather
SUBDIR += py-mapclassify
SUBDIR += py-mcomix
SUBDIR += py-mgwr
SUBDIR += py-ming
SUBDIR += py-mpl-interactions
SUBDIR += py-mpl-scatter-density

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graphics/py-mgwr/Makefile Normal file
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# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>
# $FreeBSD$
PORTNAME= mgwr
PORTVERSION= 2.1.2
CATEGORIES= graphics python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Multiscale Geographically Weighted Regression
LICENSE= BSD3CLAUSE
LICENSE_FILE= ${WRKSRC}/LICENSE
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}libpysal>=4.0.0:science/py-libpysal@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}numpy>=1.3,1:math/py-numpy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scipy>=0.11:science/py-scipy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}spglm>=1.0.6:math/py-spglm@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}spreg>=0:math/py-spreg@${PY_FLAVOR}
USES= python:3.6+
USE_PYTHON= autoplist concurrent distutils
NO_ARCH= yes
.include <bsd.port.mk>

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graphics/py-mgwr/distinfo Normal file
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TIMESTAMP = 1609598739
SHA256 (mgwr-2.1.2.tar.gz) = cc5e845e70f169a0eb9aaf2cb27391cecb6cff27ca4916f7e9f7bba19338d26d
SIZE (mgwr-2.1.2.tar.gz) = 41773

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graphics/py-mgwr/pkg-descr Normal file
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Multiscale Geographically Weighted Regression (MGWR)
mgwr is a Python implementation of multiscale geographically weighted regression
for investigating process spatial heterogeneity and scale. It incorporates the
widely used approach to modeling process spatial heterogeneity - Geographically
Weighted Regression (GWR) as well as the newly proposed approach - Multiscale
GWR (MGWR) which relaxes the assumption that all of the processes being modeled
operate at the same spatial scale. Inferences are available for both approaches.
WWW: https://mgwr.readthedocs.io/en/latest/
WWW: https://github.com/pysal/mgwr