GIS for Environmental Modeling

Geog 479/559 Spring 2009                           Tu Th 2:00 - 3:20pm 
Instructor: Ling Bian
Office: 120 Wilkeson Quad
Office Hours: Tu Th 12:30-1:30pm
                         322 Fillmore
                          Lab: T 12:30-1:50pm or W 11am-12:20pm, Wilkeson 145
                          TA: Liang Mao

Validating GIS Models 

1. A habitat model - factors
        1. Primary habitat:
            Oak forest on well drained soils

        2. Secondary habitat:
            Oak forest on poorly drained soils, and within 300m from the primary habitat

        3. Non-habitat      
           Oak forest on poorly drained soils and 300m away from the primary habitat

2. Data:
        1. Soil, well/poor drained, source:
        2. vegetation, source:

3. GIS analysis:
        Overlay:
        Oak + well drained, oak + poorly drained

        Proximity:
        300m buffer for secondary habitat and non-habitat

4. Model validation:
       Point data collected in the field: ideally more than 30 observations

       Variables: density of the oak trees, density of the wildlife

        Statistics:
        H1: oak density = normal; K-S test for normality
        Assuming to accept the null hypothesis in this case
        H2: oak in the primary habitat = oak in secondary habitat; t-test 
        accept or reject the null hypothesis
        H3: oak in the secondary habitat = oak in the non-habitat; t-test 
        accept or reject the null hypothesis

        H4: wildlife density = normal; K-S test for normality
        Assuming to reject the null in this case
        H5: wildlife in the primary habitat jay = wildlife in the secondary habitat; Mann-Whitney test
        accept or reject the null
        H6: wildlife in the secondary habitat = wildlife in non-habitat; Mann-Whitney test
        accept or reject the null

        Conclusion: Is the 300m buffer appropriate to define primary, secondary, and non habitats?

5. Error matrix:
                                                                   Mapped category
        True Category                       Primary        Secondary        Total          
         Oak >=50%                            15                5                    20
         Oak< 50                                    3              52                    55
          Total                                       18              57                    75           
Accuracy of the oak forest map: 89%


Reference                                              Classified Data
Data              Water               Forest              Urban               Grassland         Row Total
Water             30                       5                      5                      0                      40
Forest              5                      65                      0                    10                      80
Urban              0                        5                    40                      5                      50
Grassland         0                        0                      5                    25                      30   
Column Total    35                    75                    50                    40                    200

Overall accuracy  = 160/200 = 80%
Commission error for forest = 10/75 = 13.3%
Omission error for forest = 15/80 = 19.8%


 
 
 

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