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Full-Text Articles in Spatial Science
Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka
Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka
Electronic Theses and Dissertations
Soybean is among the most important crops, cultivated primarily for beans, which are used for food, feed, and biofuel. According to FAO, the United States was the biggest soybeans producer in 2016. The main soybean producing regions in the United States are the Corn Belt and the lower Mississippi Valley. Despite its importance, soybean production is reduced by several diseases, among which Sclerotinia stem rot, also known as white mold, a fungal disease that is caused by the fungus Sclerotinia sclerotiorum is among the top 10 soybean diseases. The disease may attack several plants and considerably reduce yield. According to …
Modeling The In-State Geographic Market Changes Of South Dakota Public University Enrollments, 2006 To 2015, John Green
Modeling The In-State Geographic Market Changes Of South Dakota Public University Enrollments, 2006 To 2015, John Green
Electronic Theses and Dissertations
The spatial nature of how high school students choose a college has become an integral part of the recruitment process at universities across the country. In South Dakota, the impact of distance on enrollment at state operated institutions influences the geographic footprint of each university. Between 2006 and 2015, the nature of those enrollment numbers and geographic footprints changed within the state, creating enrollment stagnation or decline at state run institutions. This research paper addresses the geographic nature of those enrollment declines, models the college enrollment decision of students in the state, and applies those findings towards potential enrollment projections. …