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5 """Extract numerical case histories from digital geographic landscape
6 history data. I(firetools) provides a simple and reproducable solution for
7 combining many types of digital fire prone landscape history
8 data and extracting numerical case histories suitable for
9 subsequent statistical analysis.
10
11 Greg Miller <gmill002@gmail.com>
12 Department of Earth Sciences
13 University of California, Riverside
14
15 Purpose
16 This toolset provides a simple and reproducable solution for
17 combining many types of digital fire prone landscape history
18 data and extracting numerical case histories suitable for
19 subsequent statistical analysis.
20
21 System Requirements
22 The toolset requires Python 2.5 or higher, Numpy 1.3 or higher,
23 and ESRI ArcGis 9.3 with the arcgisscripting module
24
25 Installation
26 Simply put the firetools folder in your Python25\Lib directory
27
28 Instructions for use
29 Produce a config script using the example as a template then
30 create a batch file or enter at the "run" prompt a command with
31 these three arguments using absolute paths. This will execute
32 the RunConfig.py with python.exe while passing your config
33 script to RunConfig.py as its first argument.
34
35 >> python.exe RunConfig.py YourConfig.py
36
37 Procedure Overview
38 The procedure can be divided into three parts. The user first
39 creates and defines shared aspects of the study. This includes
40 the study area, period and spatio-temporal grid resolution.
41 Next, source data series are imported. Source data types include
42 fire perimeters map series, static spatial data (ie elevation),
43 and time series (ie annual precipitation). When imports are
44 complete, output data is extracted and text file output and
45 sampled subsets are generated.
46
47 """
48
49 __version__ = 0.01
50 __author__ = "Greg Miller <gmill002@gmail.com>"
51 __license__ = ""
52
53 __all__ = ["Study", "FirePerimeters", "MapSeries", "Static", "TimeSeries", ]
54