Downloads

SELES

SELES provides a structured framework to guide development and simulation of spatial landscape models. At the heart of SELES is a high-level, declarative modelling language used to specify processes acting in a model and a discrete-event simulation engine that interprets and executes such models. The SELES language permits a clear representation of the underlying model, resulting in models that can be developed quickly and are more easily verified, compared, modified, and reused. The model editor assists model development. A SELES simluation can integrate the different types of events, producing a general and powerful tool for specifying models of landscape processes and change. SELES gives researchers, managers and decision-makers a means with which the impacts of various management actions can be evaluated for their effect on landscape structure over time, and makes landscape simulation accessible to a much wider audience than previously possible.

Go to the SELES Download Page.

DULP

FIPWIZ and TRIMporter

FIPWIZ was built to convert forest cover attribute data (FIP files) into several popular database formats including the import/export format of PAMAP GIS (*.spy/*.dpy), Microsoft Access (*.mdb), Microsoft FoxPro/xBase (*.dbf) and a generic tab delimited format that can be imported into any other GIS/database/statistical software.   FIPWIZ was developed to import TRIM data into PAMAP GIS maps. TRIMporter uses a wizard-style interface very similar to FIPWIZ that steps the user through the process and provides various options along the way.

Go to the FIPWIZ/TRIMporter Download Page

Floodplain and Fan Terrain Models

These models are built in SELES (see above).  They use GRASS data as input, but can be run off of ARC ASCII spatial data as well (see SELES users manual).  They use a cost surfacing approach to identify flood plains and fans.  See the readmes in the zip files for more information.

Download the  Floodfan models .

Ecological Soil Moisture Prediction Model

This  model is built in SELES (see above).  It uses GRASS data as input, but can be run off of ARC ASCII spatial data as well (see SELES users manual).  This is a hydro-ecological model that uses terrain and in particular catchment to identify landscape soil moisture.  See the readmes in the zip files for more information.

Download the  ESMPM models

Landscape Lego

Landscape Lego is a project to explore the use of automated mapping tools for generating and  characterising landscape patterns for landscape planning.

Go to the Lego Download Page.

Web Warehouse Access Tool (WWAT)

The WWAT is a web based application that runs on a server that has access to warehoused data.  WWAT authenticates a user and allows them to log on to the page to make data warehouse requests.  Currently this is a research tool to explore using this type of technology.  The application is currently behind the BC government firewall and can only accessed by authenticated government employees.  This tool will be made operational under a Northwestern BC based project that is exploring the development of a Northwestern Data Co-op centred in Smithers.  The co-op will facilitate geospatial data access by Government agencies, resource companies, 1^st nations and the consulting community.

Go to the WWAT  Page (available to BC government employees only).

LACH

MBaby

The Mahalanobis distance statistic provides an empirically derived pseudo habitat suitability index equation for “mapping”  wildlife habitat.  The statistic measures the dissimilarity, based on the standard squared distances, between an ideal habitat, as determined by wildlife locations/telemetry locations, and the habitat that is available in each map cell . This technique can be used to generate a map of Mahalanobis distances that can then be recoded to probabilities that reflect wildlife habitat selection.  Mbaby it the automated tool that takes a data set of wildlife locations, and a set of mapped habitats and generates a map of probabilities of habitat.  Mbaby uses the variance/covariance matrix generated from wildlife observation date when determining probabilities of habitat use and as a result does not require an un-correlated set of input variables. 

Go to the MBaby Download Page.

Columbia Mountains Landscape Model

The Columbia Mountains Model aims primarily to predict the amount and distribution of caribou habitat as it varies across the Columbia Mountains landscape over time in response to disturbance and succession.  Local experts defined the focus of the model and described key ecological and management processes.  Disturbance agents include logging, western hemlock looper, mountain pine beetle and fire.  Other significant disturbance agents in the area, including spruce bark beetle and  armelleria root rot, were not modelled because they are less likely to create large disturbances that can be tracked explicitly by the model.  The impacts of such disturbance agents is however included in the volume growth curves used in this model.  Road access is also tracked.  A simple succession model alters tree species composition as a function of age.  The logging submodel uses annual allowable harvest rates determined by the latest  TSRs.  Forest management strategies used in the model, also based on TSR assumptions, control the amount and distribution of logging disturbance within zones.

The model was developed using the SELES modelling tool (see above).  SELES combines discrete event simulation with a spatial database and a relatively simple programming language to allow rapid development of landscape simulations.  It does not determine optimal solutions given constraints, but can illustrate the impacts of simple constraints (e.g., green-up).  The model is stochastic, generating disturbance and succession events in space and time using probability distributions.  Thus, the model must be run several times to determine average results and a range for each scenario modelled.

The spatial database describing the landscape consists of a series of grid-based maps (raster format).  Each cell of the grid stores a code describing a mapped feature.  In this model, each grid cell represents a 250 m by 250 m square (6.25 ha).  Cells touching at cardinal points are considered adjacent; cells touching at corner points are not.  Processes occurring beyond the resolution of the model such as riparian buffering and partial cutting are not modelled spatially.

Download the Columbia Mountains Landscape Model .