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Cleaning and processing global resource data for game development

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Cleaning and processing global resource data for game development
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351
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2022

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Abstract
This talk will describe some of the tools and tricks used by the team at Sparkgeo to gather, clean, and represent global resource data (minerals, wood, and water) for use in video game development. One of the resources collected by the team used the STAC package for the Joint Research Centre - Global Surface Water data product to deliver water occurrence as part of the end product. This talk will describe how to use a STAC package like JRC to access and transform cloud datasets before moving on to additional datasets such as limestone, gold, and forest cover. These other datasets required a different geospatial approach to ensure that the resources were appropriately represented in the video game. Nevertheless, each dataset required gathering from the internet and performing an Extract-Transform-Load (ETL) task. The use of open-source geoprocessing tools, data science methods, and data delivery formats helped ensure real-world data is used in video games. Community standards
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