COURSE DESCRIPTION: Analyses of wildlife home range and habitat use are used in wildlife-focused disciplines to inform population and habitat management practices. The geographical space used by animals is largely driven by habitat selection, where habitat can be described by spatially explicit site factors (e.g., land cover). Geospatial modeling is the process of synthesizing geographically referenced field measurements and spatial data layers representing those site factors. In this course, we will process raw point location data, estimate home ranges, and conduct habitat assessments using raster land cover data and the open-source software applications QGIS and R.
-Review QGIS (QGIS Basics)
-Downloading GIS data online (Maine Geolibrary)
-Preparing spatial data in Excel
-Creating Vector Data (points)
-Projections and transformations (Coordinate system)
-Creating shape files for individual animals
-Setting up R-studio and Geospatial Modeling Environment (GME)
-Calculating home ranges in GME
-Home range analysis in QGIS
-Determine area of home ranges
-Determining available habitat
-Intro to remote sensing and raster data
-Determining used habitats
-Statistical analysis of used vs. available habitat
FORMAT: Students will take the course at their own pace over a four week period. The course is divided into discrete competency-based modules composed of pre-recorded lecture material and hands-on exercises. Student interaction and instructor feedback will be provided in the form of online discussion forums and live Q&A. Each student will also have the opportunity over a 2-week period to meet with the instructor via video consultation to discuss course materials or their individual datasets.
DATES: January 3-30, 2022
COST: Early bird course fee (ends Nov 14): $550 professional / $450 student
CONTINUING EDUCATION CREDIT: Attendance at this course has been pre-approved by The Wildlife Society for 22.5 CEUs in Category I of the Certified Wildlife Biologist® Renewal program and Category I of the Professional Development Certificate program. See our continuing education credit page for details.
SCHOLARSHIPS: Full and partial scholarships are available to participants from countries designated as “lower income” and “lower middle income” in the World Bank List of Economies. Please email us directly to apply.
PREREQUISITES: Introductory course in R (e.g., Data Science in R for Wildlife Scientists & Managers) and QGIS (e.g., Open-source QGIS for natural resource scientists and managers) or experience using the software.
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