Both simple and three-tiered sinuosity measures are derived for reference points along study map representations of the Shenandoah river system. These data are then statistically compared to corresponding sinuosity data from USGS topographic quadrangles to identify the relative accuracies of the historical maps. This article offers evidence to refute the common historical assumption that Hotchkiss provided Maj. Gen. Thomas ''Stonewall'' Jackson with terrain intelligence that was far superior to that available to his Union opponents. Evidence indicates that maps by Union cartographers as well as the prewar Bö ÿe-Buchholtz map were at least as accurate, or superior to, the work of Hotchkiss.
This study advances knowledge concerning military topographical engineering in the Shenandoah Valley of Virginia during 1861 and 1862 operations. It examines representative historical maps, Union and Confederate official reports, the wartime journals of James W. Abert, Jedediah Hotchkiss, and David Hunter Strother, and a detailed postwar reminiscence by Thomas H. Williamson to illuminate the typical experience of the topographical engineer in early war operations in the Shenandoah. Evidence indicates that Civil War topographers mostly performed the tasks one would expect of them: mapmaking, reconnaissance, and orienteering. They were occasionally required to perform other duties tailored to their individual talents. There is evidence that the role of Confederate topographical engineers was more specific than that of Union officers.
Environmental problems resulting from climate change have generated negative impacts on climate-sensitive sectors of African economies. Coping with adverse situations, individuals and households adopt several strategies, including rural-urban migration. Previous literature has investigated the use of migration as a coping strategy to environmental factors. However, specific empirical assessment of links between migration and climatic factors with emphasis on spatial perspectives is not well studied. Accordingly, this study focuses on climatic driver influences on migration from statistical and spatial perspectives using logistic regression and Geographic Information Systems (GIS). We combined secondary data sets collected by the World Bank SLMS nationwide household surveys with geo-referenced sub-villages and historical gridded rainfall and temperature data. Results suggest a significant positive relationship between long-run precipitation and migration, while long-run temperature was statistically inconsequential. Results also suggest spatial patterns and climate change drivers are critical in understanding the migration determinants in Tanzania.
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