Package firetools
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Package firetools

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Extract numerical case histories from digital geographic landscape
history data. I(firetools) provides a simple and reproducable solution for
combining many types of digital fire prone landscape history
data and extracting numerical case histories suitable for
subsequent statistical analysis. 

        Greg Miller <gmill002@gmail.com>
        Department of Earth Sciences
        University of California, Riverside
        
        Purpose
                This toolset provides a simple and reproducable solution for
                combining many types of digital fire prone landscape history
                data and extracting numerical case histories suitable for
                subsequent statistical analysis. 
                
        System Requirements
                The toolset requires Python 2.5 or higher, Numpy 1.3 or higher,
                and ESRI ArcGis 9.3 with the arcgisscripting module

        Installation
                Simply put the firetools folder in your Python25\Lib directory

        Instructions for use
                Produce a config script using the example as a template then 
                create a batch file or enter at the "run" prompt a command with 
                these three arguments using absolute paths. This will execute 
                the RunConfig.py with python.exe while passing your config 
                script to RunConfig.py as its first argument.
                
                >> python.exe RunConfig.py YourConfig.py

        Procedure Overview
                The procedure can be divided into three parts. The user first 
                creates and defines shared aspects of the study. This includes 
                the study area, period and spatio-temporal grid resolution. 
                Next, source data series are imported. Source data types include 
                fire perimeters map series, static spatial data (ie elevation), 
                and time series (ie annual precipitation). When imports are 
                complete, output data is extracted and text file output and 
                sampled subsets are generated.


Version: 0.01

Author: Greg Miller <gmill002@gmail.com>

License:  

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