PyMapLib Tutorial Tool

Step-by-step tutorial for new users of PyMapLib library

Launch Tool

This tool version is unpublished and cannot be run. If you would like to have this version staged, you can put a request through HUB Support.

Archive Version 1.0
Published on 29 Nov 2016
Latest version: 1.1. All versions

Open source: license | download

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Tools

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Abstract

As a part of the NSF funded Geospatial Data Analysis Building Blocks (GABBs) project, PyMapLib is designed as a generic framework for geospatial data visualization to support scientific computation and data tools. Based on a diverse set of use cases, the primary goal of PyMapLib is to lower the barrier of developing map-enabled geospatial tools by non-expert scientific users, requiring only minimal programming effort. More specifically, the library (1) efficiently supports common geospatial data types and protocols, including vector, raster, delimited text, GeoJSON, spatial database sources, and OGC web services (TMS, WMS, WFS), (2) allows users to interact with the map by either selecting inputs or displaying outputs, (3) supports simple operations of geospatial data processing and analysis, and (4) is lightweight and requires minimal programming effort for application developers.

As a flexible mapping library and building block, PyMapLib has been used to build several hub geospatial data processing and analysis tools, including Weather Data Explorer (https://mygeohub.org/tools/pywintx), Fine-scale Land Allocation Tool (FLAT), and AgMIP Data Aggregator. With PyMapLib, users can import various types of spatial data onto a base map, edit the data, perform spatial data analysis, visualize the results, and share with others. Although developed for HUBzero, PyMapLib is independent of the HUBzero platform and can be used in any Python applications.

PyMapLib is open source, available through github (https://github.com/waneric/PyMapLib), and will continue to improve based on user feedback.

This tool serves as a step-by-step tutorial for new users of the PyMapLib library. It demonstrates commonly used features including how to embed a map viewer widget, how to overlay map layers using different data sources ,how to identify values of features on the map, etc.

Cite this work

Researchers should cite this work as follows:

  • Jaewoo Shin (2016), " PyMapLib Tutorial Tool ," https://mygeohub.org/resources/pymaplibtool.

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