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DECISIONFOREST – an implementation of the random forest algorithm for classification. In addition to the hard classification, probabilistic soft classification images can also be output. DECISIONFOREST models can also be saved and used to classify novel imagery. Thus models can be trained in one location, or time, and then applied in a different location or time so long as the same variables (bands) are used.
CONSENSUS – a module that outputs the most common class assignment from a group of classifications. This is useful for the creation of ensemble classifications.
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IDRISI GIS Analysis
The IDRISI GIS tool set offers over 300 analytical tools, primarily oriented to raster data, for the manipulation of geospatial datasets for the exploration of our rapidly changing world.
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TerrSet 地理空间监测与建模软件
TerrSet是一个集成的地理空间软件系统,用于监测和建模地球系统的可持续发展。该TerrSet系统集成了IDRISI GIS分析和IDRISI图像处理工具以及一系列垂直应用。TerrSet提供了业界范围广的地理空间工具集,且价格低廉。没有必要购买昂贵的附加组件来扩展您的研究能力。
TerrSet软件功能
•IDRISI GIS分析
IDRISI GIS工具集提供了300多种分析工具,主要面向光栅数据,用于操作地理空间数据集,以探索我们快速变化的世界。
The Climate Change Adaptation Modeler (CCAM) is suite of tools for modeling future climate and assessing its impacts on sea level rise, crop suitability and species distributions.
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LCM
The Land Change Modeler has undergone a major revision:
LCM includes three new empirical modeling tools – Support Vector Machine (SVM), Decision Forest (an implementation of Random Forest) and Weighted Normalized Likelihood (WNL). The latter is capable of modeling large numbers of transitions in a rapid time frame.
We have also added the option to use a balanced sample with Logistic Regression, yielding transition potentials more in line with those produced by procedures such as LCM’s Multi-Layer Perceptron (MLP).
Revised to allow the automatic modeling of multiple transitions for all procedures, with the exception of SimWeight.
Adds the ability to quickly add all transitions to a single group, or to ungroup them and use automatic transition names.
Greatly improved control of project flow.
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