Report 1 Example A

Report 1 Example A - CASE REPORT Geology and Landslides in...

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1 CASE REPORT Geology and Landslides in Southern California Ayanna Carla N. Phillips; STA6166 section 8490 Introduction Geologists, among many others, are interested in predicting the occurrence of landslides. In an attempt to refine their prediction abilities, patterns of past landslide occurrences are studied. In this investigation, geological data associated with 822, 100m 2 grid cells randomly selected from the Southern California region, served as the study sample. This report describes the distribution of each of the eight (8) variables analyzed in the dataset. Dataset Description This observational study comprised of 822 sampling units and took 8 variables into consideration for each sampling unit. Of the 8 variables, 5 were continuous quantitative ( dem 100c, maxslope 100, sg 100, aspect 100, and factor safety) , and 3 were categorical ( nrls 10n 100a, prenrls 100, and aspect category) . Of the 3 categorical variables, 2 took the form of binary data ( nrls 10n 100a, and prenrls 100) . The population size is unknown.
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2 Statistical Methods All statistical analyses were performed using JMP IN ® Statistical Discovery Software Version 5 Release 5.1 – a business unit of SAS (Duxbury Statistics). Categorical Data: All categorical data were summarized using bar charts. Mosaic plots were used to emphasize the difference in frequencies and One-Way Frequency Tables were constructed to compare absolute and relative frequencies. For binary categorical data, the proportion of successes was determined, where the occurrence of a landslide was considered a ‘success’. Continuous Quantitative Data: All continuous quantitative data were summarized using histograms, quantile box plots and outlier box plots. For each continuous variable, the maximum point, minimum point, upper and lower quartiles, median and mode were obtained. From this information, the range and interquartile range was calculated for each variable. The mean, standard deviation, variance and coefficient of variance were also obtained as well as numerical measures of skewness and kurtosis for each variable.
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3 RESULTS CATEGORICAL VARIABLES Aspect Category Figure 1: Aspect Category Table 1: Aspect Category One Way Frequency Table Level Count (Absolute frequency) Prob. (Relative frequency) EAST 91 0.11071 NORTH 131 0.15937 NORTHEAST 131 0.15937 NORTHWEST 81 0.09854 SOUTH 117 0.14234 SOUTHEAST 98 0.11922 SOUTHWEST 85 0.10341 WEST 88 0.10706 Total 822 1.00000 N Missing 0 8 Levels Figure 1 is a Bar Chart depicting the distribution of the grid cells. The mode is 131 grid cells, having occurred in two aspects (North and Northeast). The distribution is 91 131 131 81 117 98 85 88 25 50 75 125 150 Count EAST NORTH NORTHEAST NORTHWEST SOUTH SOUTHEAST SOUTHWEST WEST EAST NORTH NORTHEAST NORTHWEST SOUTH SOUTHEAST SOUTHWEST WEST
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4 asymmetric and has no gaps. Table 1 is a One Way Frequency Table showing the absolute and relative frequencies for each aspect.
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This note was uploaded on 11/23/2011 for the course STA 6166 taught by Professor Staff during the Summer '08 term at University of Florida.

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Report 1 Example A - CASE REPORT Geology and Landslides in...

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