PostGIS integration in CyberGIS-Jupyter for Water (CJW) platform
| Authors: | |
|---|---|
| Owners: | Zhiyu/Drew Li |
| Type: | 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. |
| Citation: | See how to cite this resource |
| Content types: | Geographic Feature Content |
| Sharing Status: | Public |
|---|---|
| Views: | 1773 |
| Downloads: | 125 |
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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
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°
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
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.
Related Resources
| 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 Lyu | 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/
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