Spatial Data, Coordinate Systems, and the Science of Measurement
Earl F. Burkholder
Abstract
Earl F. Burkholder
Abstract
Many disciplines work with spatial data and use a geographic information system to reference geospatial data. Based upon a concise definition of spatial data, this paper describes how spatial data and their accuracy are related to the measurement process and the choice of a coordinate system. The goal is to describe how 3D spatial data can be manipulated more efficiently and how spatial data accuracy can be established without ambiguity using the global spatial data model as the foundation for geographic information systems and the National Spatial Data Infrastructure.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Many disciplines work with spatial data and use a geographic information system to reference geospatial data. Based upon a concise definition of spatial data, this paper describes how spatial data and their accuracy are related to the measurement process and the choice of a coordinate system. The goal is to describe how 3D spatial data can be manipulated more efficiently and how spatial data accuracy can be established without ambiguity using the global spatial data model as the foundation for geographic information systems and the National Spatial Data Infrastructure.
Key concepts: Geospatial analysis, Spatial analysis, Spatial data infrastructure, Ambiguity, Computer science, Geographic information system, Data mining, Process (computing)