Minor in GeoSpatial Analysis at ESU

GeoSpatial Analysis (GSA) refers to geographic information systems (GIS) and remote sensing applied to documenting, mapping, interpreting, and managing natural and cultural resources. An interdisciplinary minor in geospatial analysis could be used in combination with any undergraduate B.A. or B.S. major. This minor is especially recommended to enhance majors in biological, physical, and social sciences, as well as mathematics and computer science.


  • General education courses in biological and physical sciences: GB 100/101; CH, ES or PH 110/111; or advanced courses.
  • EB/ES 351 Introduction to Geospatial Analysis (3 hours). Introduction to geographic information systems (GIS) and remote sensing techniques as applied to documenting, mapping, analyzing, interpreting, and managing natural and cultural resources. Types of GIS data, computer hardware and software used for geospatial analysis, basic cartography, and global positioning system.
  • GE 371 Cartography (3 hours). Application of map projections, drafting techniques, application of data to maps in order to present a visual interpretation of a large mass of data.
  • ES 551 Computer Mapping Systems (3 hours). Theory and use of computer systems for capture, storage, analysis, and plotting of spatial information. Vector and raster geographic information systems, digitizing data, and spatial analysis. Practical applications of computer mapping systems.
  • Elective courses (9 hours). Electives to be selected upon approval of student's advisor. Elective courses must be 200 level or higher and should be chosen to complement courses in the student's major. Note: courses used to satisfy requirements for the student's major cannot also be used as electives for this minor.
  • Electives may be chosen from the list of recommended elective courses for geospatial analysis. Other appropriate courses, including topics, seminars, and independent study, may also be used for electives, as approved by the student's advisor.


Biological science courses:

EB 409 Environmental Biology Projects, EB 480/481 Ecology/Lab, GB 510/511 Aquatic Biology/Lab, EB 536/537 Wildlife Management/Lab, GB 539 Soil Science and Lab, BO 748 Range Management and Lab, ZO 774/775 Fisheries Management/Lab, and EB 798/799 Limnology/Laboratory.

Mathematics and computer science courses:

CS 215 Elements of Computer Science, CS 220 Introduction to Computer Science, CS 250 Programming and Problem Solving with Pascal, MA 240 Discrete Mathematics, MA 291 Mathematical Modeling, MA 341 Introduction to Probability and Statistics, CS 340 Algorithms and Data Structures I, and MA 764 Regression Analysis.

Physical sciences courses:

ES 319 Meteorology, ES 331 Ice Age Environments, ES 333 Environmental Geology, CH 506 Environmental Chemistry, ES 518 Space Science, ES 545 Geomorphology, ES 546 Field Geomorphology, GO 571 Geohydrology, ES 771 Remote Sensing, and ES 775 Advanced Image Processing.

Social sciences courses:

GE 254 Physical Geography, GE 272 Geography of Resource Development, GE 353 Conservation of Natural Resources, GE 365 World Regional Climatology, GE 451 Practicum in Land Use Planning, GE 515 Urban Geography, and GE 525 Rural Geography.

Note: some of these courses require prerequisites in the discipline; consult your advisor or ESU catalog.


For more information about GeoSpatial Analysis, contact: