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The Integrated Toolset
The Integrated Toolset is a set of ArcView 3.# extensions, produced by the Bureau of Rural Sciences (BRS) and funded by the Climate Variability in Agriculture Program. Combined with some components of ANUSPLIN, it provides a very useful spatial interpolation and analysis tool.
Download the Integrated Toolset Zip [960kb]
The Integrated Toolset provides BRS with the capacity to fit surfaces, with full error diagnostics, from multiple point data, and enhance the analysis and manipulation of various raster and vector datasets.
BRS has also purchased the SILO Patched Point Dataset to provide access to high quality, real time climate data.Using the Integrated Toolset, BRS has the capacity to focus on specific regions and provide detailed spatial analyses.
There are several stages used to analyse and visualise variation in rainfall across a region. For example:
- Climate data are obtained from the SILO Patched Point Dataset
- Data are then integrated with the GEODATA 9 second DEM (Digital Elevation Model) in a Geographic Information System
- Finally, rainfall data are spatially interpolated using the Integrated Toolset. This final surface is shown as a 3-D visualisation for more effective communication.
Software requirements
The Integrated Toolset has particular proprietary software requirements, (which BRS cannot provide) and all of which operate in the windows environment: ANUSPLIN 4.#, ArcView 3.# and the Spatial Analyst ArcView extension.
What do the major components of the Integrated Toolset do?
Point from text
Provides a tool for addition of new records to point shape files. New points are added by keying in their coordinates (latitude and longitude). This tool was developed to add point data to a coverage from GPS measurements (ie. taking GPS readings in the field and adding them to a new or existing point theme in ArcView).
Graphic on grid
A tool for defining the extent of grid analyses by 'click and drag'
Surface fitting
The ANUSPLIN program is used in conjunction with ArcView to create a grid surface from point data.
In this application ANUSPLIN can handle one dependent variable and a minimum of two to a maximum of five independent variables or covariates.
Explicit error diagnostics
The components of the ANUSPLIN program used in this toolset produce various outputs for checking the input data and output results, including:
- Smoothing parameter: Alters the trade-off between smoothness of the fitted surface and fidelity to the data points.
- Output statistics: Produced for the final model surface and error grids in the form of log files
- Error surfaces: Produced by the model. The user can choose between: Average surface value only, model standard errors, prediction standard errors, 95% model confidence intervals and 95% prediction confidence intervals.
Further information
- ANUSPLIN Package
- Integrated Toolset manual
PDF [575kb] - Integrated Toolset training PDF [211kb]
- Integrated Toolset presentation
PPT [2.1mb]
Contact
Greg Laughlin
Senior Principal Scientist
Bureau of Rural Sciences
Phone: + 61 2 6272 3347
Email: Greg Laughlin
