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| author | Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2021-03-07 22:09:49 +0000 |
|---|---|---|
| committer | Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2021-03-07 22:09:49 +0000 |
| commit | ad76e1bc657251631a4afd6de710b06f5ba48e13 (patch) | |
| tree | aa4df8d05a8504141671695fe962353a265b843e /graphics/py-urbanaccess | |
| parent | c75dc80c3a669449e47ab6576ccc1962bffb8f8f (diff) | |
| download | ports-ad76e1bc657251631a4afd6de710b06f5ba48e13.tar.gz ports-ad76e1bc657251631a4afd6de710b06f5ba48e13.zip | |
Add py-urbanaccess 0.2.2
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
Notes
Notes:
svn path=/head/; revision=567606
Diffstat (limited to 'graphics/py-urbanaccess')
| -rw-r--r-- | graphics/py-urbanaccess/Makefile | 32 | ||||
| -rw-r--r-- | graphics/py-urbanaccess/distinfo | 3 | ||||
| -rw-r--r-- | graphics/py-urbanaccess/pkg-descr | 12 |
3 files changed, 47 insertions, 0 deletions
diff --git a/graphics/py-urbanaccess/Makefile b/graphics/py-urbanaccess/Makefile new file mode 100644 index 000000000000..ac67b8a15ac5 --- /dev/null +++ b/graphics/py-urbanaccess/Makefile @@ -0,0 +1,32 @@ +# 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> diff --git a/graphics/py-urbanaccess/distinfo b/graphics/py-urbanaccess/distinfo new file mode 100644 index 000000000000..f2d8a5e72bab --- /dev/null +++ b/graphics/py-urbanaccess/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1614794180 +SHA256 (urbanaccess-0.2.2.tar.gz) = a00ff67488eeec62d5c68bc07f1ee6cb62dc867ae0872241544dc2e924e28939 +SIZE (urbanaccess-0.2.2.tar.gz) = 58241 diff --git a/graphics/py-urbanaccess/pkg-descr b/graphics/py-urbanaccess/pkg-descr new file mode 100644 index 000000000000..0c99a22c427a --- /dev/null +++ b/graphics/py-urbanaccess/pkg-descr @@ -0,0 +1,12 @@ +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 |