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 |
A habitat model
Determine potential sighting locations of
a bear species in a park
Factors
1. Land cover types
2. Species richness
3. Species interspersion
Raw Data Land cover Source: satellite images, digital aerial photos, land use/land cover data, Gap data
Existing bear sighting data: 91 locations
Data layer preparation 1. Species richness: The total number of unique land cover types in a 3x3 window
2. Species interspersion: The number of cells with land cover type that is different from the center cell
3. The window size can be 5x5, 7x7, 9x9, ..... The optimal window size is the one that shows the greatest difference in richness or interspersion The "difference" can be absolute value range or variance for richness or interspersion
4. Generate another set of 91 locations that are randomly located in the study area
Statistics analysis:
Determine whether each of the
three layers is relevant
1. Do the %s of land cover
types differ between the bear sighting sites and the entire area?
Do the
bear prefer certain
types of land cover?
Null H1: % of each cover type used
by birds = % of each type in the area
C2
test
Accept or reject the null, %
of each type
used by bear ? % of each type in the area
(r)
2. Do the %s of land cover types
differ between the random sites and the entire area?
Null H2: % of each cover type of
random sites = % of each type in the area
C2
test
Accept or reject the null, % types
of random sites ? % of the area
(a)
3. Does species richness differ
between the sighting sites and the random sites?
H3:
richness at bear sighting
sites = richness of the random sites
t-test, accept or reject the null
(a)
mean richness of sighting
sites ? mean richness of random sites
4. Does species interspersion
differ between the sighting sites and the random sites?
H4: interspersion at
bear sighting
sites = interspersion of the random sites
t-test, accept or reject the null (r)
interspersion of sighting
sites ? interspersion of random sites
GIS overlay
Keep the variables tested significantly different between the sighting sites and
random sites
cover type:
richness:
interspersion:
For each significant variable,
prepare a data layer
Results: potential sighting map