OSDN -- 开发和下载开源软件
简体中文翻译状态 translation status for zh

RSS
Download List

项目描述

openModeller is a C++ framework providing tools and an API for ecological niche modeling using a variety of algorithms. It can be used to predict species potential distribution based on a set of georeferenced occurrence points and a set of environmental layers.

系统要求

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2008-08-20 13:52
0.6.0

此版本包含一个新的最大熵的训练方法有两种算法（广义迭代缩放和有限内存变量公制），新的命令行工具（om_points发生检索数据使用现有驱动程序和om_algorithm任何获得有关可用算法信息） ，和新的驱动程序读取的生物多样性信息设施REST的Web服务，貘/ DarwinCore提供者，或发生序列化的XML openModeller数据。在全球风险专业人士的最佳群算法现在接受“最大线程”参数，可用于加快建模过程中的多处理器计算机。
标签: Major feature enhancements
This release contains a new Maximum Entropy algorithm with two training methods (Generalized Iterative Scaling and Limited-Memory Variable Metric), new command line tools (om_points to retrieve occurrence data using any of the available drivers and om_algorithm to get information about the available algorithms), and new drivers to read occurrence data from the GBIF REST Web service, TAPIR/DarwinCore providers, or openModeller serialized XML. The GARP Best Subsets algorithm now accepts the "max threads" parameter that can be used to speed up the modeling process in multi-processor machines.

2008-07-02 22:24
0.5.3

此版本包括一个新的算法，即AquaMaps，这是专为模型，海洋生物的分布。其他两个算法被拆除（最短距离和距离，因为环境的平均距离），现在提供相同的功能。 TerraLib司机进行了更新与TerraLib 3.2.0的兼容性。两个新班预先输入层分析可用：刀切和卡方。此版本还包含改善命令行工具（om_pseudo，om_create和om_project），一些API的变化和一些错误修正。
标签: Minor feature enhancements
This release includes a new algorithm called
AquaMaps, which was specifically designed to model
distribution of marine organisms. Two other
algorithms were removed (minimum distance and
distance to average) since Environmental Distance
now provides the same functionality. TerraLib
drivers were updated for compatibility with
TerraLib 3.2.0. Two new classes for pre-analysis
on input layers are available: Jackknife and
ChiSquare. This release also contains improvements
in command-line tools (om_pseudo, om_create and
om_project), some changes in the API, and a few
bugfixes.

2008-01-24 22:14
0.5.2

此版本修正在Windows（MSVC的编译器）编译问题，包括一个新的命令行程序来生成伪事件，有一些小的改善控制台工具（缺勤现在显示在om_viewer和om_niche），并有一些代码的清理工作。
标签: Minor feature enhancements
This release fixes compilation issues under Windows (MSVC compiler), includes a new command line program to generate pseudo occurrences, has minor improvements in console tools (absences are now displayed in om_viewer and om_niche), and has some code cleanup.

2008-01-21 19:34
0.5.1

此版本修复MSVC的编制问题，在对OM，坠毁在一个全球风险专业人士类SVM反序列化的错误时，输入点中缺席，在对环境的马氏距离度量算法反序列化的错误，并在伪错误，缺乏一代没有缺勤时被作为参数传递的SVM算法。它实现了序列化/奥姆全球风险专业人士的最佳亚反序列化，并包括一个新的算法“信封分数”。
标签: Major bugfixes
This release fixes MSVC compilation problems, a bug in the deserialization of OM GARP, a crash in one-class SVM when input points contained absences, a bug in deserialization of environmental distance algorithm for the Mahalanobis metric, and a bug in the pseudo-absence generation of the SVM algorithm when no absences were passed as a parameter. It implements serialization/deserialization for OM GARP Best Subsets, and includes a new algorithm "Envelope Score".

2007-08-30 22:57
0.5

此版本包括一个新的算法，基于支持向量机（丙- SVC的，怒族，SVC的，和一类SVM），增加了对多个规范化技术支持（2实现可用：ScaleNormalizer和MeanVarianceNormalizer），有一个新的方法来取消工作（模型的创建或模型预测），使样品的序列原（未规范化的）环境价值，并载有单元测试使用cxxtest一个新的基础设施。
标签: Major feature enhancements
This release includes a new algorithm based on Support Vector Machines (C-SVC, nu-SVC, and one-class SVM), adds support for multiple normalization techniques (two implementations are available: ScaleNormalizer and MeanVarianceNormalizer), has a new method to cancel jobs (model creation or model projection), makes Sample serialization based on the original (unnormalized) environment values, and contains a new infrastructure for unit tests using cxxtest.

Project Resources

Project Page 下载: Bugtracker 下载: 变更日志 首页 下载: List