GIS for Environmental Modeling

Geog 479/559 Spring 2012                           T R  2:00-3:20pm 
Instructor: Ling Bian
Office: 120 Wilkeson Quad
Office Hours: T R 12:30pm-1:30pm or by appts
                         355 Fillmore
                         Lab A: T 5:00-6:20pm or Lab B: R 9:30-10:50am, Wilkeson 145C
                         TA: Amy Frazier

GIS Modeling

1. GIS 

        G: maps

        I: spreadsheets

        S:  the system that puts the maps and spreadsheets together

 

    Formal definitions of GIS

        A GIS is a computer-based system that provides for the collection, storage, analysis., and display of geo-referenced data
        A decision support system involving the integration of spatially referenced data in a problem solving environment

    GIS and GIS
        Geographic information systems - it refers to software, hardware and it is used as a tool to support other research
        GIScience - Geographic information science

    Components in GIS
        Spatial entities
        Spatial locations
        Attributes
        Topology

    Spatial Entities
           Real world entities
           Spatial entities - points, lines, polygons, grids, volumes

    Spatial locations
            Specified with reference to a common coordinate system
            Geographic  coordinate system (latitude and longitude)      
            UTM (Universal transverse Mercator)  
            State Plane
       
    Attributes - variables, properties, etc.
            Four types of attribute values
            nominal (river, grass, etc.)
            ordinal (high, medium, low)
            interval (10oC, 20oC)
            ratio (2.19, -96.57)

    Topology (relationship between geographic features (points, lines, polygons)
            adjacency, containment, connectivity, etc.

    GIS data models
            vector and raster

2. GIS Modeling
        1) Conceptualizing the Model – Project Design
        Identify the goal first  - What is the problem
                 e.g., where to put ATM machines
                 e.g., where are the most appropriate places to cut old trees in a state park

        Identify the factors that affect the solution
                 For the locations of ATM machines
                 factor 1
                 factor 2
                 factor 3

                 For cutting old trees in a state park
                 F1
                 F2
                 F3

        2) Formulating the Model – Methodology Design
        Find the spatial data for each factor
        Use surrogate data if direct data are not available
                 For the locations of ATM machines
                 F1: data =
                 F2: date =
                 F3: date =

        Identify spatial operators
                 e.g., overlay, buffering
                 neighborhood analysis, topographic analysis, spread function, stream function, viewshed analysis
                 network analysis, etc.

                For the location of the wastewater treatment plant
                Operator 1, 2, …

        3) Implementing the Model – Methodology Implementation
        Collect the data
        Run spatial operations
        Map the results

        4) Calibrating, Validating, and Refining Models
        The output is nothing more than a pretty picture without acceptability assessment

                Go to field or use actual decision records to provide evidence
                Use aerial photo or satellite images as surrogate evidence
                Set a small set of data aside and use it later to validate the model results

                Make sure all variables are significant for the model
                Make sure the model is appropriate

 
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