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Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils

1
Department of Agricultural Economics, Mississippi State University, Mississippi State, MS 39762, USA
2
Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
*
Author to whom correspondence should be addressed.
Received: 9 April 2019 / Revised: 1 May 2019 / Accepted: 7 May 2019 / Published: 8 May 2019
(This article belongs to the Special Issue Open Data and Robust & Reliable GIScience)
Agro-climatic data by county (ACDC) is designed to provide the major agro-climatic variables from publicly available spatial data sources to diverse end-users. ACDC provides USDA NASS annual (1981–2015) crop yields for corn, soybeans, upland cotton and winter wheat by county. Customizable growing degree days for 1 °C intervals between −60 °C and +60 °C, and total precipitation for two different crop growing seasons from the PRISM weather data are included. Soil characteristic data from USDA-NRCS gSSURGO are also provided for each county in the 48 contiguous US states. All weather and soil data are processed to include only data for land being used for non-forestry agricultural uses based on the USGS NLCD land cover/land use data. This paper explains the numerical and geo-computational methods and data generating processes employed to create ACDC from the original data sources. Essential considerations for data management and use are discussed, including the use of the agricultural mask, spatial aggregation and disaggregation, and the computational requirements for working with the raw data sources. View Full-Text
Keywords: NASS; gSSURGO; PRISM; climate; weather; soils; raster data; climate econometrics NASS; gSSURGO; PRISM; climate; weather; soils; raster data; climate econometrics
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MDPI and ACS Style

Yun, S.D.; Gramig, B.M. Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils. Data 2019, 4, 66.

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