GIS 135 - Spatial Analysis with GIS

    Recent Professors
    Juan Gonzalez
    Recent Semesters
    Spring 2027, Spring 2026
    Class Size
    35 students
    Difficulty
    4.8Moderateout of 10
    Credits
    3
    Prerequisite
    GEOG 130 or GIS 130
    Spring 2027 Sections
    View Spring 2027 sections of GIS 135
    Transfers To
    CSU
    Description
    Cloud computing, artificial intelligence (AI), web GIS, and automated mapping are becoming increasingly important within spatial analysis. This course is an introduction to spatial analysis with fundamental concepts and analytical procedures used to simplify complex spatial modeling. Specific methods covered include spatial queries, buffering, overlay, interpolation, network analysis, surface analysis, and spatial autocorrelation. Spatial analysis tools and services have the capacity to highlight and address long-standing issues of economic, environmental, racial, and social justice, as well as environmental sustainability.