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ahinz

Discovered public repositories for ahinz in the GitHub catalog.

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ahinz/pycsw

pycsw is an OGC CSW server implementation written in Python. pycsw fully implements the OpenGIS Catalogue Service Implementation Specification [Catalogue Service for the Web]. Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation. pycsw allows for the publishing and discovery of geospatial metadata. Existing repositories of geospatial metadata can also be exposed via OGC:CSW 2.0.2, providing a standards-based metadata and catalogue component of spatial data infrastructures. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X). Please read the docs at http://pycsw.org/docs for more information.

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ahinz/philasdbudget

Project to parse Philadelphia School District Budget PDFs and visualize data

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ahinz/OpenTreeMap-iOS

An OpenTreeMap client for iOS. The OpenTreeMap code can be downloaded at https://github.com/azavea/OpenTreeMap. A default skin for the iOS app is available at https://github.com/azavea/OpenTreeMap-iOS-skin.

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ahinz/OpenTreeMap

OpenTreeMap is a wiki-inspired, web-based geographic tree inventory application that enables individuals, organizations, and governments to work together and collaboratively map the urban forest. OpenTreeMap is a project of Azavea and Urban Ecos. The code is currently being used to create PhillyTreeMap.org, UrbanForestMap.org, GreenprintMaps.org, SanDiegoTreeMap.org, and the Grand Rapids Urban Forest Project tree map (treemap.urbanforestproject.com). The code to create an iOS app version of OpenTreeMap is available at https://github.com/azavea/OpenTreeMap-iOS. A default skin for the iOS app is available at https://github.com/azavea/OpenTreeMap-iOS-skin.

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ahinz/geotrellis

GeoTrellis is an open source geographic data processing engine for high performance applications.

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ahinz/Open-Data-Catalog

Open-Data-Catalog is an open-source version of the site code behind OpenDataPhilly.org. This site is intended to display links to and information about publically available data, allow data owners to submit data for consideration and solicit dataset requests from the public. Written using Django, Python and PostgreSQL.

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