PostGIS integration in CyberGIS-Jupyter for Water (CJW) platform


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Resource type: Composite Resource
Storage: The size of this resource is 6.0 MB
Created: May 01, 2020 at 4:55 p.m.
Last updated: May 11, 2020 at 7:50 p.m.
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Content types: Geographic Feature Content 
Sharing Status: Public
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Abstract

This example demonstrates how to use PostGIS capabilities in CyberGIS-Jupyter notebook environment. Modified from notebook by Weiye Chen (weiyec2@illinois.edu)

PostGIS is an extension to the PostgreSQL object-relational database system which allows GIS (Geographic Information Systems) objects to be stored in the database. PostGIS includes support for GiST-based R-Tree spatial indices, and functions for analysis and processing of GIS objects.

Resources for PostGIS:

Manual https://postgis.net/docs/
In this demo, we use PostGIS 3.0. Note that significant changes in APIs have been made to PostGIS compared to version 2.x. This demo assumes that you have basic knowledge of SQL.

Subject Keywords

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
40.1164°
East Longitude
-88.2089°
South Latitude
40.0981°
West Longitude
-88.2427°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

References

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
What's New in CyberGIS-Jupyter for Water (CJW) 2020 Q2 Release Zhiyu/Drew Li · Shaowen Wang · Anand Padmanabhan · Fangzheng Lu  Public &  Shareable Open Access

How to Cite

Chen, W., S. Wang (2020). PostGIS integration in CyberGIS-Jupyter for Water (CJW) platform, HydroShare, http://www.hydroshare.org/resource/bb779d4cce564dd6afcf463c8910786f

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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