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
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