Geographical Information Systems
Geog
481/506 Tu
Th 3:30-4:50pm
Fall
2011 Fillmore
170
Instructor: Ling Bian
LabA: Tue: 5-6:20pm, W145, Chunyuan Diao
Office: 120 Wilkeson LabB: Thur:
6:30-7:50pm, W145, Tong Sun
Office hours: Tu Th
2-3pm or by appt. LabC:
Fri: 10-11:20am, W145, Tong Sun
GIS Analysis Functions
1.
Geographic analysis
Geographic
questions: where, when, why, and how
The
purpose of the analysis is to answer questions about what existed in the
past,
what exists now, and what will happen in the future
or in other locations.
2.
Organizing geographic data
Data
layers (coverage etc.)
Feature
types: point, lines, polygons
Objects:
geometric or thematic
3. Maintenance of the spatial data
(1) Format transformation
Spatial data files must be transformed into the data structures
and file formats used internally by a GIS software package
(2) Geometric transformation
Different data layers are registered to a common coordinate system
(3) Conflation
A procedure of reconciling positions of corresponding features
in different data layers (e.g. snapping).
4. Maintenance
of attribute data
Attribute editing: list, add, delete, redefine, etc.
Attribute query: retrieve attributes according to certain criteria
5. Integrated
analysis of spatial and attribute data
The power of GIS lies in its ability to analyze spatial and attribute data
together
(1) Retrieval, classification, and measurements
Retrieval: selective search without modifying the original data (for output)
Classification
Attribute data: cerate a new attribute item based on existing ones
Spatial data: spatial features may be aggregated to larger entities
Recode in a raster environment
Dissolve in a vector environment
Single layer vs. multiple layers (overlay)
Measurement
Distances between points
Nearest distances
Functional distances
Lengths of lines
Perimeters and areas of polygons
Centroid of an area
Area of a profile
Volume
Shape
Narrowest and broadest distances across a polygon
Sinuosity of a line
(2) Overlay
Arithmetic overlay: adding layers, subtracting, multiplication, division,
etc.
Logic overlay
Finding areas where certain conditions occur
Boolean logic
Weighting input layers
By: Professional experiences
Expert votes
Empirical or analytical models
Raster vs. vector overlay
Raster:
Every cell is executed, and the overlay result is a new layer
Vector:
The operation is executed only for areas of interest
New attribute items are created
New layers may be created that carry both the original and new attributes
The operation is generally more complex than raster overlay
union
identity
intersect
erase
update