CSC-310/610 - Introduction to Geographic Information Systems

  • Credits: Three
  • Instructor: Alan Ford
  • Offered: Fall 2018

Introduction to Geographic Information Systems is a course in the fundamentals of the use of geographic information systems (GIS). GIS is becoming widespread in: local, state, and federal governments; in non-governmental organizations; in the private sector; and more recently with individuals. Authorities define a GIS to be “a system of hardware, software, data, people, organizations, and institutional arrangements for collecting, storing, analyzing, and disseminating information about areas of the earth. This course will provide an introduction to GIS, GIS software, and review and analyze some applications of GIS.


SPA 096-004/696-004 - Principles of Geographic Information Science

  • Credits: One
  • Instructor: Meagan Snow
  • Offered: Summer 2018

In this course, students will learn foundational skills in GIS software and begin to think critically and creatively about the application of those skills. Coursework will include introductions to spatial data types and formats, coordinate systems, spatial queries and joins, geoprocessing tools, and the art and science of cartography. By the end of the course, students will know how to make basic maps, how to create, edit, and query spatial data, and have an understanding of what else is possible with GIS, given further study.


ENVS 496/696 - Environmental GIS

  • Credits: Three
  • Instructor: Mike Alonzo
  • Offered: Spring 2018

The study of the environment is inherently spatial and global in nature. One way to view and analyze data in a spatial, or geographic, context is with geographic information systems (GIS). GIS hardware and software are commonly used to map and analyze the drivers and implications of deforestation, urbanization, air/water/soil pollution, environmental health disparities, and myriad other spatial-environmental phenomena. In this course students enhance their theoretical and technical knowledge of GIS (primarily using ArcGIS) through analysis, spatial modeling, and cartographic representation of socio-environmental issues. Prerequisite: CSC-310 or mathematics or statistics course. Meets with ENVS-696 001.


ENVS 496/696 - Remote Sensing

  • Credits: Three
  • Instructor: Mike Alonzo
  • Offered: Fall 2018

Satellite and aerial imagery allow for analysis of environmental conditions and dynamism at every point on earth, nearly every day. This course will introduce multispectral (e.g., Landsat, MODIS) and hyperspectral imagery as well as lidar (light detection and ranging) data in the context of quantitative ecological analysis. Topics will include remote sensing physical bases, sensors, applications, and methods.


STAT 517 - Spatial Data Analysis

  • Credits: Three
  • Instructor: Monica Jackson
  • Offered: Fall 2019

Spatial data analysis concerns data that are correlated by location, and relies upon the assumption that objects closer together in space (e.g. geographical location) will most likely have similar responses. This course provides an introduction to graphical and quantitative methods for the analysis of spatial data. Emphasis is on lattice data (also known as areal data or aggregated data) however modeling of geostatistical data and point patterns will be discussed. Topics include spatial regression, clustering and cluster detection, simulation methods, variograms, autocorrelation, and additional spatial methods. An important aspect of the course is to gain experience with spatially correlated data in applying these techniques using GIS and spatial analytical software to address research questions in a wide variety of fields such as sociology, public health, and environmental sciences.