Vector Analysis
Travis Zalesky
As part of UA GIST 602B
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Cantharellus Pattern Analysis
Cantharellus Pattern Analysis
Cantharellus are a genus of mushroom forming fungi, containing 4 gourmet species commonly found in the Pacific North West. Being highly desirable mushroom species, there is a high demand for wild foraged Cantharellus mushrooms, and the spatial distribution of fungal fruitbodies is deemed to be of interest to both foragers and resource managers within the mycological community.
A number of spatial analysis methods were used to describe the point patternation of crowdsourced mushroom observation data, which found that Cantharellus sp. exhibit a highly clustered spatial distribution. Importantly, the limitations of crowdsourced observation data complicates the interpretation of results, the consequences of which are discussed.
Exploratory ordinary least squares regression analysis was performed on Cantharellus sp. observation data using a variety of land cover and bioclimactic variables for counties across western Washington and Oregon. The best fitting model was chosen using a variety of model summary statistics, and the model was evaluated for overall fitness and spatial stationarity. Unfortunately, the variables identified were only able to explain a small portion of the variance seen in mushroom observations. The limitations of the model and potential improvements are discussed.
I would like to thank Professor Yoganand Korgaonkar for his excellent curriculum. Thanks, as always, to all my peers, and everyone working in the Geographic Information Sciences Technology program at the University of Arizona School of Geography, for allowing me the opportunity to study vector analysis. Finally, thank you to anyone who reads or interacts with this webpage. I hope that you have learned something. Let me know if you have any questions or comments.
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