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Urban growth pattern of the San Antonio area

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Presentation on theme: "Urban growth pattern of the San Antonio area"— Presentation transcript:

1 Urban growth pattern of the San Antonio area
San Antonio population as of April 1, 1980 – 785,880 Average population of San Antonio for 1985 – 860,906 average between 1980 and 1990 San Antonio population as of April 1, 1990 – 935,933 San Antonio population as of April 1, 2000 – 1,144,646 % change in population from 1980 to 1990 = 19% % change in population from 1990 to 2000 = 22% % change in population from 1980 to 2000 = 46%

2 Received the image for San Antonio for 1986 from Dr. Xie
Used the image for San Antonio for 2003 from the images given to in class from Dr. Xie The image for 1986 was larger than the image for 2003 Dr. Xie took the pixel location for the top left hand corner and the bottom right hand corner of the 2003 San Antonio image Dr. Xie inputted these locations into the image for 1986 to so that they would be the same size and the same geographic location.

3 San Antonio in 1986 after the size change

4 San Antonio in 2003

5 Braunig Lake 1986 2003

6 1604 and I-10 Interchange Now Fiesta Texas Quarry is larger 1986 2003

7 Kelly Air Force Base 1986 2003

8 Hwy 281 and Loop 1604 2003 1986

9 San Antonio Airport 2003 1986

10 Isodata unsupervised classification
Isodata calculates class means evenly distributed in the data space and then iteratively clusters the remaining pixels using minimum distance techniques. Each iteration recalculates means and reclassifies pixels with respect to the new means. Iterative class splitting, merging, and deleting is done based on input threshold parameters. All pixels are classified to the nearest class unless a standard deviation or distance threshold is specified, in which case some pixels may be unclassified if they do not meet the selected criteria. This process continues until the number of pixels in each class changes by less than the selected pixel change threshold or the maximum number of iterations is reached.

11 Isodata image of San Antonio with Maximum Iterations set to 5
9 different classes (colors) 10 different classes (colors)

12 Braunig Lake Isodata Image Isodata Image

13 1604 and I-10 Interchange Isodata Image Isodata Image

14 Pixel Count for Isodata Difference
Initial State Class 1 Class 2 Class 3 Class 4 Class 5 Class 6 Class 7 Class 8 Class 9 Class Total 50435 594792 263209 81589 31816 590326 145951 Class 10 Final State

15 Percentage for Isodata Difference
Initial State Class 1 Class 2 Class 3 Class 4 Class 5 Class 6 Class 7 Class 8 Class 9 Class Total 100 Final State

16 K-Means unsupervised classification
K-Means calculates initial class means evenly distributed in the data space and then iteratively clusters the pixels into the nearest class using a minimum distance technique. Each iteration recalculates class means and reclassifies pixels with respect to the new means. All pixels are classified to the nearest class unless a standard deviation or distance threshold is specified, in which case some pixels may be unclassified if they do not meet the selected criteria. This process continues until the number of pixels in each class changes by less than the selected pixel change threshold or the maximum number of iterations is reached.

17 K-Means image of San Antonio with Maximum Iterations set to 5
5 different classes (colors)

18 Braunig Lake K-Means Image K-Means Image – 1986

19 1604 and I-10 Interchange K-Means Image K-Means Image

20 Pixel Count for K-Means Difference
Initial State Class 1 Class 2 Class 3 Class 4 Class 5 Class Total 524655 898480 163996 Final State

21 Percentage for K-Means Difference
Initial State Class 1 Class 2 Class 3 Class 4 Class 5 Class Total 100 Final State

22 What I did to find the pixel difference for the Isodata Classification
On the ENVI Main Menu Click Classification -> Click Post Classification -> Class Statistics Choose Classification Input file - Isodata Image for 1986 Choose Statistics Input file – Isodata for 1986 Selected All items Asked for a Text Report Repeated steps for the Isodata for 2003

23 Class Stats Summary for 1986 Class Stats Summary for 2003
Class 1 – points (1.2011%) Class 2 – points ( %) Class 3 – points ( %) Class 4 – points ( %) Class 5 – points (6.2589%) Class 6 – points (1.9388%) Class 7 – points (0.7559%) Class 8 – points ( %) Class 9 – points (3.4700%) Class Stats Summary for 2003 Class 1 – points (3.8298%) Class 2 – points ( %) Class 3 – points ( %) Class 4 – points ( %) Class 5 – points ( %) Class 6 – points ( %) Class 7 – points (7.2622%) Class 8 – points (3.8427%) Class 9 – points (1.1077%) Class 10 – points ( %) % Difference For: class 1 = 188% class 6 = 473% class 2 = -54% class 7 = 767% class 3 = -46% class 8 = -75% class 4 = -3% class 9 = -93% class 5 = 103%


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