Interactive spatial evolutionary computation based predictive modeling of rare plant species occurrences

机译：基于交互式空间进化计算的稀有植物物种预测模型

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, a habitat suitability model for rare plant species is developed by combining spatial predictive modeling techniques and an evolutionary computation method known as Interactive Evolution (IE). The interactive spatial evolutionary computation based predictive modeling enables an analyst to combine advanced mathematical geospatial and pattern recognition modeling techniques, conceptual knowledge, available empirical data, and expert-interactive dynamic data visualization techniques to predict species distributions. This methodology represents a step toward identifying regions where species are likely located to base argument for appropriate stratification in applying culturally relative conservation strategies to protect them and promote overall enhanced ecological integrity to the region. The model accuracy was assessed statistically by testing for independence between predicted occurrence and actual occurrence using cross-validation tests.

机译：本文通过结合空间预测建模技术和称为交互式演化（IE）的进化计算方法，开发了一种罕见的储植物物种的栖息地适用性模型。基于交互式空间进化计算的预测模型使分析师能够将高级数学地理空间和模式识别建模技术，概念知识，可用的经验数据和专家交互式动态数据可视化技术组合起来以预测物种分布。该方法代表了识别物种所可能识别地区的一步，以便在应用文化相对保护策略以保护它们并促进该地区的整体增强的生态完整性方面，该阶段是适当的分层。通过测试使用交叉验证测试的预测发生和实际发生之间的独立性进行统计评估模型精度。

著录项

来源
《2011 Third World Congress on Nature and Biologically Inspired Computing》|2011年|p.472-475|共4页
会议地点
作者
Garagic Denis; Rhodes Bradley J.; Abramiuk Marc A.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类理论、方法;
关键词
Interactive evolutionary computation; habitat suitability model; neural networks; spatial predictive modeling; supervised learning;

机译：交互式进化计算;栖息地适应性模型;神经网络;空间预测模型;监督学习;

相似文献

外文文献
中文文献
专利

1. Predicting habitat suitability for rare plants at local spatial scales using a species distribution model [J] . Gogol-Prokurat M. Ecological Applications . 2011,第1期

机译：使用物种分布模型预测局部空间尺度上稀有植物的生境适宜性
2. Predictor species: Improving assessments of rare species occurrence by modeling environmental co‐responses [J] . Peter R. Thompson, William F. Fagan, Phillip P. A. Staniczenko Ecology and Evolution . 2020,第7期

机译：预测器种类：通过建模环境共响应改善稀有物种的评估
3. Predicting the occurrence of rare Brazilian birds with species distribution models [J] . Miguel Â. Marini, Morgane Barbet-Massin, Leonardo E. Lopes, Journal of Ornithology . 2010,第4期

机译：使用物种分布模型预测巴西珍禽的发生
4. Interactive spatial evolutionary computation based predictive modeling of rare plant species occurrences [C] . Garagic Denis, Rhodes Bradley J., Abramiuk Marc A. World Congress on Nature Biologically Inspired Computing . 2011

机译：基于交互式空间进化计算的稀有植物物种出现的预测建模
5. Differences in Habitat at Two Spatial Scales Fail to Predict Differing Occurrences of Three Species of Wintering Ammodramus Sparrows in South Carolina Salt Marshes [D] . Trinkle, Kimberly A. 2013

机译：在两个空间尺度上的栖息地差异无法预测南卡罗来纳州盐沼中三种越冬的双翅目麻雀的不同发生
6. Predictor species: Improving assessments of rare species occurrence by modeling environmental co‐responses [O] . Peter R. Thompson, William F. Fagan, Phillip P. A. Staniczenko 2020

机译：预测物种：通过对环境共同响应进行建模来改进对稀有物种发生的评估
7. Predictor species: Improving assessments of rare species occurrence by modeling environmental co‐responses [O] . Peter R. Thompson, William F. Fagan, Phillip P. A. Staniczenko 2020

机译：预测器种类：通过建模环境共响应改善稀有物种的评估

Interactive spatial evolutionary computation based predictive modeling of rare plant species occurrences

摘要

著录项

相似文献

相关主题

期刊订阅