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Full-Text Articles in Geography
Snow And Non-Snow Events Based Winter Traffic Crash Pattern Analysis And Developing Lake Effect Snow Induced Crash Count Prediction Model, Bandhan Dutta Ayon
Snow And Non-Snow Events Based Winter Traffic Crash Pattern Analysis And Developing Lake Effect Snow Induced Crash Count Prediction Model, Bandhan Dutta Ayon
Masters Theses
This study aims to (i) find the spatial-temporal traffic crash pattern and (ii) develop a statistical model for predicting LES induced traffic crash counts. Three southwest Michigan counties: Allegan, Kalamazoo and Calhoun are selected to conduct this study. Snow and non-snow event based comparative analysis are conducted using Getis-Ord Gi* statistic to identify high density crash cluster locations in the study area. While several new and oscillating hot spots are detected in Allegan during snow, no hot spot is detected during non-snow events based analysis. In Kalamazoo, traffic crashes do not exhibit much difference in spatial-temporal trend during snow or …
An Intra-Site Spatial Analysis Of Fort St. Joseph (20be23) In Niles, Mi, Katelyn Deann Hillmeyer
An Intra-Site Spatial Analysis Of Fort St. Joseph (20be23) In Niles, Mi, Katelyn Deann Hillmeyer
Masters Theses
In the field of archaeology, surveying and mapping have played key roles in documenting and analyzing site data. With the advancements in Geographic Information Systems (GIS), this integration of spatial data is made easier and better visualization can be attained for site layout and artifact distributions both horizontally, in space, and also vertically through a temporal component. The ongoing excavations at Fort St. Joseph (Smithsonian trinomial- 20BE23), near Niles, Michigan, makes it an excellent site for exploring the evolution of applied GIS methodology and the adjustment of among ongoing static database applications to new spatial methods of investigating site distributions. …
Spatial Discrepancies Between Nhdplus And Lidar-Derived Stream Networks, Nicole Marie Samu
Spatial Discrepancies Between Nhdplus And Lidar-Derived Stream Networks, Nicole Marie Samu
Masters Theses
Many organizations demand that current water resource issues necessitate improved stream network mapping for more accurate and reliable watershed analysis and modeling results, which can ultimately enable better management and policy decisions. Stream network data from the National Hydrography Dataset Plus (NHDPlus) and derived from Light Detection and Ranging (LIDAR) are each widely accepted to be of superior quality compared to many other conventional datasets. Each dataset indicates potential to improve a wide range of water resource applications; NHDPlus for its high spatial accuracy and functionality, and LIDAR-derived networks for their high resolutions. NHDPlus is publicly available and widely used; …