Abstract
Abstract. This work describes geoserver-rest, an open-source python package that can manage the geospatial data in a geoserver which is helpful for uploading, editing, and deleting the raster/vector layers from various sources. It is also useful for generating the style/legend from the uploaded geospatial data. Thus, generated legend can be used for visualization of maps in the web-GIS platform. The package is successfully used to build the web-GIS portal for agricultural datasets of Afghanistan, which has around 6000 map layers. The main benefit that geoserver-rest provides to this project is the ability to upload the data to the geoserver and create the styles file dynamically. Thus, created style file are directly linked to the corresponding layer and provide the Web Mapping Service (WMS) standard and visualize in an interactive way.
Highlights
The common procedure for publishing the geospatial data on web is by using the map servers such as MapServer (Kropla, 2005), GeoServer (Iacovella, 2014), ArcMap Server, ncWMS (Blower et al 2013) etc
This section describes the successful example geoserver-rest where it was used for management of all the agricultural related geospatial data in the geoserver
We could visualize the data in QGIS and produce a nice map and upload it to the geoserver with reference style was an easy option
Summary
The common procedure for publishing the geospatial data on web is by using the map servers such as MapServer (Kropla, 2005), GeoServer (Iacovella, 2014), ArcMap Server, ncWMS (Blower et al 2013) etc. The implementation of WMS standard in geoserver can create the maps in a variety of output formats It supports the web Feature Service (WFS) (Vretanos, 2005) and Web Coverage Service (WCS) (Baumann, 2010) standard which allow sharing and editing the data that are used to generate the maps. The automation for geospatial data sharing and dynamic style creation feature makes it unique and more popular and useful in the latest web-GIS development works. It will be very helpful for editing, updating, and deleting large sets of data. The web-GIS application having uploading, managing and presenting the geospatial data functions can be integrated with the help of this library
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