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Add py-urbanaccess 0.2.2

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UrbanAccess is tool for creating multi-modal graph networks for use in
multi-scale (e.g. address level to the metropolitan level) transit accessibility
analyses with the network analysis tool Pandana. UrbanAccess uses open data from
General Transit Feed Specification (GTFS) data to represent disparate
operational schedule transit networks and pedestrian OpenStreetMap (OSM) data to
represent the pedestrian network. UrbanAccess provides a generalized,
computationally efficient, and unified accessibility calculation framework by
linking tools for: 1) network data acquisition, validation, and processing; 2)
computing an integrated pedestrian and transit weighted network graph; and 3)
network analysis using Pandana.

WWW: https://github.com/UDST/urbanaccess
This commit is contained in:
Sunpoet Po-Chuan Hsieh 2021-03-07 22:09:49 +00:00
parent c75dc80c3a
commit ad76e1bc65
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=567606
4 changed files with 48 additions and 0 deletions
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1
graphics/Makefile
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@ -900,6 +900,7 @@
SUBDIR += py-tifffile
SUBDIR += py-toyplot
SUBDIR += py-traitsui
SUBDIR += py-urbanaccess
SUBDIR += py-utm
SUBDIR += py-vecrec
SUBDIR += py-visvis

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graphics/py-urbanaccess/Makefile Normal file
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# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>
# $FreeBSD$
PORTNAME= urbanaccess
PORTVERSION= 0.2.2
CATEGORIES= graphics python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Tool for creating GTFS transit and OSM pedestrian networks
LICENSE= AGPLv3
LICENSE_FILE= ${WRKSRC}/License.txt
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}geopy>=1.11.0:net/py-geopy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}matplotlib>=2.0:math/py-matplotlib@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}numpy>=1.11,1:math/py-numpy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}osmnet>=0.1.4:graphics/py-osmnet@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pandana>=0.2.0:graphics/py-pandana@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pandas>=0.17.0,1:math/py-pandas@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}yaml>=3.11:devel/py-yaml@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}requests>=2.9.1:www/py-requests@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scikit-learn>=0.17.1:science/py-scikit-learn@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}six>=1.11:devel/py-six@${PY_FLAVOR}
USES= python:3.7+
USE_PYTHON= autoplist concurrent distutils
NO_ARCH= yes
.include <bsd.port.mk>

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graphics/py-urbanaccess/distinfo Normal file
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TIMESTAMP = 1614794180
SHA256 (urbanaccess-0.2.2.tar.gz) = a00ff67488eeec62d5c68bc07f1ee6cb62dc867ae0872241544dc2e924e28939
SIZE (urbanaccess-0.2.2.tar.gz) = 58241

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graphics/py-urbanaccess/pkg-descr Normal file
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UrbanAccess is tool for creating multi-modal graph networks for use in
multi-scale (e.g. address level to the metropolitan level) transit accessibility
analyses with the network analysis tool Pandana. UrbanAccess uses open data from
General Transit Feed Specification (GTFS) data to represent disparate
operational schedule transit networks and pedestrian OpenStreetMap (OSM) data to
represent the pedestrian network. UrbanAccess provides a generalized,
computationally efficient, and unified accessibility calculation framework by
linking tools for: 1) network data acquisition, validation, and processing; 2)
computing an integrated pedestrian and transit weighted network graph; and 3)
network analysis using Pandana.
WWW: https://github.com/UDST/urbanaccess