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DETERMINING THE SPATIAL REPRESENTATIVENESS OF AIR-TEMPERATURE RECORDS USING VARIOGRAM-NUGGET TIME SERIES Michael J. Janis Department of Geography University of Delaware Newark Delaware 19716 Scott M. Robeson Indiana University Bloomington Indiana 47405 Abstract In climatology spatial representativeness can be measured as the degree to which an instrumental temperature record resolves the climatic variability across an area* Some station records may disproportionately resolve characteristics...
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What is determining form spatial representativeness?
Determining form spatial representativeness is a process of identifying and evaluating the extent to which a spatial data set accurately represents the real-world features it is meant to depict.
Who is required to file determining form spatial representativeness?
The individuals or organizations responsible for producing or providing spatial data sets are generally required to file determining form spatial representativeness.
How to fill out determining form spatial representativeness?
The process of filling out determining form spatial representativeness may vary depending on the specific guidelines or requirements set by the relevant authority. Generally, it involves documenting details about the spatial data set, its intended purpose, quality assessment measures, and any associated metadata. It is recommended to consult the specific guidelines or requirements for accurate and comprehensive completion.
What is the purpose of determining form spatial representativeness?
The purpose of determining form spatial representativeness is to ensure the accuracy, quality, and reliability of spatial data sets. It helps in assessing the fitness of the data for its intended use, identifying any limitations or biases, and making informed decisions based on the data.
What information must be reported on determining form spatial representativeness?
The information that must be reported on determining form spatial representativeness generally includes details such as the metadata of the spatial data set, its source, acquisition method, quality assessment measures, evaluation criteria, and any limitations or biases associated with the data. The specific requirements may vary depending on the authority or guidelines governing the process.
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