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County Level Indiana Weather, Soil and Corn Yield Dataset

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DataCite Commons2025-12-18 更新2025-04-16 收录
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https://purr.purdue.edu/publications/4501/1
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<p>Corn yield is influenced by the interplay of weather and soil characteristics at specific locations. This project aims to ceate county-level datasets comprising daily weather variables, static soil attributes, and yearly yield records. The weather data, spanning 2001–2023, was sourced from the Purdue Mesonet and the MRCC Cli-Mate repository, incorporating all available weather stations. Yield data was obtained from the USDA, and soil information was gathered from the SSURGO repository. All data were spatially aggregated to county-level averages to ensure uniformity.</p> <p>To enhance data quality, records with over 60 consecutive days of missing weather observations for a given year-county pair were excluded. The remaining gaps, representing less than 4% of the data, were imputed using a spatiotemporal KNN approach, achieving an imputation accuracy of 70%.</p> <p>These refined datasets offer valuable insights into the relationships between weather, soil, and yield, providing a robust foundation for yield modeling, geospatial analysis, and studies of weather-soil-yield dynamics.</p>
提供机构:
Purdue University Research Repository
创建时间:
2025-01-03
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