“Geographic Data Science with Python is an essential resource for data scientists looking to extend their skills into the geographic domain and for geographers looking to add data science skills. The book’s approach achieves a highly effective balance between introducing theoretical concepts and applyi...
January 9, 2024 28 min read Introducing a Very High-Resolution Dataset of Landfills and Waste Dumps Data Science A novel dataset consisting of very high resolution multi-spectral satellite images of landfills from Germany,… Anupama Rajkumar ...
The result is the zonebuilder project (with R, Rust and Python implementations), which was used to create the ClockBoard zoning system. ClockBoard consists of 12 segments emanating from a central place and divided by concentric rings with radii that increase in line with the triangular number ...
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By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...
Statistical Analysis Zip codes to ZCTA crosswalk files were used to link data that were indexed with zip codes (RUCA and ADI) and with ZCTA (pediatric demographic data and travel times) using the open-source Python library pandas.29 Shortest travel times were mapped in ArcPro 2.9 for the 48...
The purpose of this book is to promote understanding of the Geographic Information Science and Technology enterprise (GIS&T, also known as 'geospatial'). It explores the nature of geographic information. To study the nature of something is to investigate
and software environments (e.g., Geospatial Data Abstraction Library (GDAL) or Python). A service-oriented environment configuration initially provides basic methods for configuring hardware and software environments to support server sharing. After server resources are shared, methods should also be ...
and thus provide insight into the underlying mechanisms of speciation. Our study explored this potential with genome-scale sequencing data from the two closely related dung fly sister speciesS. cynipseaandS. neocynipsea.The history of speciation in this system remains largely unknown despite detailed...
limes area using computa- tional approaches, specifically to model and analyse transport networks, settlement patterns and their relationship with the natural environment, to better understand the interactions between the Roman military population and the local population that lived in this frontier region...