Date: Sun, 3 Jan 2021 19:57:12 +0000 (UTC) From: Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r560042 - in head/graphics: . py-mgwr Message-ID: <202101031957.103JvCIf086110@repo.freebsd.org>
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Author: sunpoet Date: Sun Jan 3 19:57:12 2021 New Revision: 560042 URL: https://svnweb.freebsd.org/changeset/ports/560042 Log: Add py-mgwr 2.1.2 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 Added: head/graphics/py-mgwr/ head/graphics/py-mgwr/Makefile (contents, props changed) head/graphics/py-mgwr/distinfo (contents, props changed) head/graphics/py-mgwr/pkg-descr (contents, props changed) Modified: head/graphics/Makefile Modified: head/graphics/Makefile ============================================================================== --- head/graphics/Makefile Sun Jan 3 19:57:07 2021 (r560041) +++ head/graphics/Makefile Sun Jan 3 19:57:12 2021 (r560042) @@ -844,6 +844,7 @@ SUBDIR += py-leather SUBDIR += py-mapclassify SUBDIR += py-mcomix + SUBDIR += py-mgwr SUBDIR += py-ming SUBDIR += py-mpl-interactions SUBDIR += py-mpl-scatter-density Added: head/graphics/py-mgwr/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/graphics/py-mgwr/Makefile Sun Jan 3 19:57:12 2021 (r560042) @@ -0,0 +1,27 @@ +# 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> Added: head/graphics/py-mgwr/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/graphics/py-mgwr/distinfo Sun Jan 3 19:57:12 2021 (r560042) @@ -0,0 +1,3 @@ +TIMESTAMP = 1609598739 +SHA256 (mgwr-2.1.2.tar.gz) = cc5e845e70f169a0eb9aaf2cb27391cecb6cff27ca4916f7e9f7bba19338d26d +SIZE (mgwr-2.1.2.tar.gz) = 41773 Added: head/graphics/py-mgwr/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/graphics/py-mgwr/pkg-descr Sun Jan 3 19:57:12 2021 (r560042) @@ -0,0 +1,11 @@ +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
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