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This article proposes a practical tool for generating synthetic spatial datasets with various skewed distributions. These generators have been successfully used ...
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Jul 17, 2021 · Abstract:This gem describes a standard method for generating synthetic spatial data that can be used in benchmarking and scalability tests.
Spatial data generator developed at UC Riverside by Puloma Katiyar under guidance of Dr. Ahmed Eldawy.
... This generator allows users to choose from a wide range of spatial data distributions and configure the size of the dataset and its distribution parameters.
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Paper describes the proposed set of open source tools for generating and preprocessing of geospatial data.
GeoAI is the application of artificial intelligence (AI) fused with geospatial data, science, and technology to accelerate real-world understanding of business ...
This repository provides the implementation for Spatial Data Generators paper, which was presented in 1st ACM SIGSPATIAL International Workshop on Spatial Gems ...
We describe a Python-based software tool called RADIAN (RAnDom spatIal dAta geNerator) developed with the purpose of generating simple synthetic spatial ...
3.4. Spatial Data: DSM Generator — UMEP Manual documentation
umep-docs.readthedocs.io › pre-processor
The DSM Generator can be used to create or alter a DSM by using information from a polygon building footprint layer where a building height attribute is ...
Nov 13, 2020 · This generator allows users to choose from a wide range of spatial data distributions and configure the cardinality of the data and the ...