Academic Journal

A case-based reasoning strategy of integrating case-level and covariate-level reasoning to automatically select covariates for spatial prediction

التفاصيل البيبلوغرافية
العنوان: A case-based reasoning strategy of integrating case-level and covariate-level reasoning to automatically select covariates for spatial prediction
المؤلفون: Yi-Jie Wang, Cheng-Zhi Qin, Peng Liang, Liang-Jun Zhu, Zi-Yue Chen, Cheng-Long Wu, A-Xing Zhu
المصدر: Annals of GIS, Vol 30, Iss 2, Pp 199-214 (2024)
بيانات النشر: Taylor & Francis Group, 2024.
سنة النشر: 2024
المجموعة: LCC:Mathematical geography. Cartography
مصطلحات موضوعية: Spatial prediction, case-based reasoning, digital soil mapping, automated covariate selection, Mathematical geography. Cartography, GA1-1776
الوصف: ABSTRACTSpatial prediction is essential for obtaining the spatial distribution of geographic variables and selecting appropriate covariates for this process can be challenging, especially for non-expert users. For easing the burden of selecting the appropriate covariates, two case-based reasoning strategies, namely the most-similar-case and covariate-classification strategies, have been proposed for automated covariate selection. The former may suggest nonessential covariates due to its case-level reasoning way. And the latter with covariate-level reasoning may overlook related covariates and recommend fewer covariates than the case-level reasoning. In this study, we propose a new strategy of integrating case-level and covariate-level reasoning to effectively leverage the strengths of both previous strategies while also addressing their limitations. The proposed strategy is validated through a case study of automatically selecting covariates for digital soil mapping under reasoning with a case base containing 189 cases. The leave-one-out evaluation demonstrated that our proposed strategy outperformed the previous two strategies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 19475683
1947-5691
1947-5683
Relation: https://doaj.org/toc/1947-5683; https://doaj.org/toc/1947-5691
DOI: 10.1080/19475683.2024.2324398
URL الوصول: https://doaj.org/article/0086c3b8d509418ca3d3b2dce8913e4c
رقم الانضمام: edsdoj.0086c3b8d509418ca3d3b2dce8913e4c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19475683
19475691
DOI:10.1080/19475683.2024.2324398