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Report to the Johnson City Commission: The State of Homelessness in Johnson City; a Five-Year Analysis with RecommendationsHemphill, Jean Croce, Brown, N. 01 January 1996 (has links)
No description available.
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From downtown to city wide the establishment of four denominations in Johnson City, Tennessee /Pierson, Carol Ann, January 1997 (has links)
Thesis (M.A.)--Emmanuel School of Religion, 1997. / Vita. Includes bibliographical references (leaves 101-104).
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Can You Sing or Play Old-Time Music?: The Johnson City SessionsOlson, Ted 01 October 2013 (has links)
Excerpt: Ralph Peer’s 1927 Bristol Sessions were revolutionary in their influence, but the Johnson City Sessions recordings, overseen by Columbia’s pioneering A&R scout Frank B. Walker, reflect Walker’s more eclectic tastes and keener sense of humor. Indeed, the recordings from the Johnson City Sessions provide a distinctly different portrayal of Appalachian music.
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These bones can live again the revitalization of Watauga Avenue Presbyterian Church /Jamison, Wesley Brian, January 2005 (has links)
Thesis (M. Div.)--Emmanuel School of Religion, 2005. / Vita. Includes bibliographical references (leaves 61-64).
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Observing Clusters and Point Densities in Johnson City, TN Crime Using Nearest Neighbor Hierarchical Clustering and Kernel Density EstimationOgden, Mitchell S 12 April 2019 (has links)
Utilizing statistical methods as a risk assessment tool can lead to potentially effective solutions and policies that address various social issues. One usage for such methods is in observation of crime trends within a municipality. Cluster and hotspot analysis is often practiced in criminal statistics to delineate potential areas at-risk of recurring criminal activity. Two approaches to this analytical method are Nearest Neighbor Hierarchical Clustering (NNHC) and Kernel Density Estimation (KDE). Kernel Density Estimation fits incidence points on a grid based on a kernel and bandwidth determined by the analyst. Nearest Neighbor Hierarchical Clustering, a less common and less quantitative method, derives clusters based on the distance between observed points and the expected distance for points of a random distribution. Crime data originated from a public web map and database service that acquires data from the Johnson City Police Department, where each incident is organized into one of many broad categories such as assault, theft, etc. Preliminary analysis of raw volume data shows trends of high crime volume in expected locales; highly trafficked areas such as downtown, the Mall, both Walmarts, as well as low-income residential areas of town. The two methods, KDE and NNHC, dispute the size and location of many clusters. A more in-depth analysis of normalized data with refined parameters may provide further insight on crime in Johnson City.
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Sanborn Fire Insurance Map from Johnson City, Tennessee (sheet 07) (file mapcoll_sanborn1908_007)01 December 1908 (has links)
Twenty sheets total. Sheet one includes a street and building index. Scale: 1 inch = 50 feet / https://dc.etsu.edu/rare-maps/1209/thumbnail.jpg
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Sanborn Fire Insurance Map from Johnson City, Tennessee (sheet 08) (file mapcoll_sanborn1908_008)01 December 1908 (has links)
Twenty sheets total. Sheet one includes a street and building index. Scale: 1 inch = 50 feet / https://dc.etsu.edu/rare-maps/1210/thumbnail.jpg
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Sanborn Fire Insurance Map from Johnson City, Tennessee (sheet 09) (file mapcoll_sanborn1908_009)01 December 1908 (has links)
Twenty sheets total. Sheet one includes a street and building index. Scale: 1 inch = 50 feet / https://dc.etsu.edu/rare-maps/1211/thumbnail.jpg
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Sanborn Fire Insurance Map from Johnson City, Tennessee (sheet 10) (file mapcoll_sanborn1908_010)01 December 1908 (has links)
Twenty sheets total. Sheet one includes a street and building index. Scale: 1 inch = 50 feet / https://dc.etsu.edu/rare-maps/1212/thumbnail.jpg
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Sanborn Fire Insurance Map from Johnson City, Tennessee (sheet 11) (file mapcoll_sanborn1908_011)01 December 1908 (has links)
Twenty sheets total. Sheet one includes a street and building index. Scale: 1 inch = 50 feet / https://dc.etsu.edu/rare-maps/1213/thumbnail.jpg
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