Using EcoPlots data

To give users an idea of how data downloaded from EcoPlots can be used, we have created a GitHub repository call ecoplots-examples within the TERN GitHub account. Within the ecoplots-example repository, users can view ecoplots-example tutorials on how to step-by-step download and use EcoPlots data using both R Studio and Python, with new tutorials being added frequently.

Further examples using GeoJson data

GeoJSON(https://en.wikipedia.org/wiki/GeoJSON) is a well-established format for encoding geospatial data. As an open standards format, it conforms to the RFC 7946 specification and contains data for both standard geographical features (such as World Geodetic System 1984 coordinates) and supports their non-spatial attributes (such as geometry types that assist with map generation). By including GeoJSON data as standard within EcoPlots data packages, we have made it easy to map the plot locations where the samples and observations were made. GeoJSON also provides the flexibility to represent a hierarchy of data associated with a certain geographic location (in this case, a survey site).

There are a number of different ways to visualise GeoJSON data, including web-based viewers such as geojson.io, software packages such as QGIS (https://www.qgis.org/en/site/ ). Most popular tools like R and Python have packages to read and write GeoJSON file format.

The following two pages give examples of using TERN GeoJSON data to visualise plots using R and Python programming languages. The data is from the search results in Example Data Searches in EcoPlots | Example Two Plants in Western Australia.

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