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WHDL - 00013552

Assisting Frog Identification in Costa Rica Using a Mobile App

Justin T. Laplante

Resource Types

Academic (Thesis, Dissertation, Etc.)

Resource Languages

English

Institutional Repository

Northwest Nazarene University

Description / Abstract

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts

Quickly identifying a single frog species from over a hundred other possible species can be a challenge for research while in the Costa Rican jungle. Though researchers can use field guides to assist, these still mean you may have look through all currently identified frog species to find the frog being viewed. This project was created to help researchers narrow the list of possible frog species quickly based on Geolocation. Using Xamarin.Forms, an app was developed that worked offline, used an ArcGIS API and was cross platform. However, to ensure performs and accuracy certain design choices were made for designing the ArcGIS map that was used within the app. The used geospatial data for the frog species and generalized it into a hexagonal pattern. For the app to handle the frog and app data using xml and the MVVM Architectural pattern.