Harvard University - Center For Geographic Analysis (cga-harvard)

Harvard University - Center For Geographic Analysis

cga-harvard

Geek Repo

Location:Cambridge, MA

Home Page:http://cga.harvard.edu

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Harvard University - Center For Geographic Analysis's repositories

geonode

Harvard WorldMap is a heavily modified fork of GeoNode 1.4 which has recently been migrated to GeoNode 2.10. WorldMap is being made available by Harvard's Center for Geographic Analysis to lower the barrier for scholars and others who wish to explore, visualize, edit, collaborate with, and publish geospatial information.

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Hypermap-Registry

Hypermap Registry, remote map services made easy for your SDI

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worldmap

WorldMap GeoNode Project

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Data_Science_Big_Data_Projects

Repository for FASRC projects

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tgaz

Temporal Gazetteer Schema

chgis

push chgis to cga-harvard

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gxp

High level components for GeoExt based applications.

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hhypermap-bop

HHypermap BOP -- Harvard Hypermap, Billion Object Platform (using Apache Solr)

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CAMP

GeoNode project for CAMP

geoexplorer-worldmap-client

GeoExplorer customized client for WorldMap

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RINX-Raster_INformation_eXtraction_System

RINX (Raster INformation eXtraction) is an end-to-end solution for automatic extraction of information from large rasters datasets. RINX heavily utilises open source geospatial techniques for information extraction. It also complements the traditional approaches with state-of-the-art high-performance computing techniques. The input for RINX is a set of rasters from which the information has to be extracted and a set of data point locations for which the information needs to be extracted. The output for RINX is a structured representation of extracted information from the raster datasets for each data point in CSV text format. The loading and pre-processing of the input datasets to RINX is accomplished using a combination of Bash and SQL scripting techniques for automation. This pre-processed input is then fed into the open source spatial database PostGIS to extract the required information by using multiple spatial techniques. Finally, the extracted output is post-processed for deduplication and standardisation of extracted information for research use. RINX is designed in a way that makes it easy to deploy and scale on any local, cloud, or cluster computing platform.

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ansible-worldmap

Ansible Worldmap Scripts

foss4g_2017_geonode_solr

Workshop at FOSS4G 2017 Boston: Building SDIs and geoportals with GeoNode and a search engine

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gsconfig.py

GeoServer configuration client library in Python

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python-workshop-gis-big-data

Files for the "Python for Geospatial Big Data and Data Science Using the FASRC" workshop.

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worldmapXBlock

edX xblock adaptor for worldmap

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USA-Excess-Deaths

This is the official GitHub repository of the Excess Death team!

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geonode-project

A django template project for creating custom GeoNode projects.

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open-source-at-harvard

Listing and exploring open source software written at Harvard

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ritsumei

WorldMap GeoNode project for Ritsumeikan University

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shared-dataverse-information

Common django model used by geoconnect and the cga-worldmap

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Twitter-Sentiment-Geographical-Index

Twitter Sentiment Geographical Index

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