GIS

Python: Working with Multidimensional Scientific Data

Python: Working with Multidimensional Scientific Data

The availability and scale of scientific data is increasing exponentially. Fortunately, ArcGIS provides functionality for reading, managing, analyzing and visualizing scientific data stored in three formats widely used in the scientific community – netCDF, HDF and GRIB. Using satellite and model derived earth science data, this session will present examples of data management, and global scale spatial and temporal analyses ...

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CSS for Geographers

CSS for Geographers

CSS Frameworks like Bootstrap are great but knowing some basic modern CSS techniques can you be successful in debugging and customizing your applications. Learn the basics of floats, positions, media queries and more to really take control of your applications. Presented by Patrick Arlt

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Python: Automating the Publishing of Geoprocessing Services

Python: Automating the Publishing of Geoprocessing Services

The demo uses arcpy functions to publish a geoprocessing service and leverage arcpy functions to setup datastore entries for folders and databases to ensure that services will reference the data appropriately. Presentation is shown on Windows Desktop, however deployment patterns for Linux and published from Pro will be discussed. Presented by Shing Lin

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Zonal statistics in ArcGis

Zonal statistics in ArcGis

Sometimes you may need to know average surface temperature of each land use category or average soil nitrogen content per paddy field or average slope per watershed or so on; Zonal Statistics Tool is right for you. It summarizes the values of a raster within the zones of another dataset (either raster or vector) and reports the results to a ...

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Building Apps with Leaflet and the Esri Leaflet Project

Building Apps with Leaflet and the Esri Leaflet Project

Learn how to build lightweight mapping applications with Leaflet and the open source Esri Leaflet plugin. These tools allow you to access key capabilities of the ArcGIS platform like basemaps, feature services, and map services. We’ll combine these tools with other plugins from the Leaflet community and build a few sample applications together. Presented by John Gravois

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