Combined HMM post-processing analyses of river plots and bar plots of the gross (grey) and net (colour) change in each land cover class (i.e. NVF, Aliens, Indigenous Forest, Grassland, and Mixed Woody Grassland) under their respective management classes (i.e. Barloworld/Commercial, Communal, Forestry/Conservation, and Plantations) between 1990 and 2020

This dataset was used to produce land cover change analyses for Figures 3.8 (A-D) and Figures 3.9 (A -D) as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands (2024).This dataset encompasses forty-five data entries. This includes 11 Hidden Markov Model (HMM) post-processed GeoTIFFS for 1990 until 2020 under each management class (i.e. Barloworld/Commercial, Communal, Forestry/Conservation, and Plantations). An r. script is also included to combine all GeoTIFFS then format and run code to produce river plots and bar graphs for the four management classes. The dataset aims to illustrate the changes among each land cover class (i.e. NVF, Aliens, Indigenous Forest, Grassland, and Mixed Woody Grassland) under the different management classes. This helps identify drivers of land cover change in the various management classes and the entire study area. It is also important to note that the land cover changes will portray realistic changes because they are HMM post-processed.Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.

本数据集用于完成题为《山地草原外来与本土植被分类的可复现方法》（2024年）的硕士论文中图3.8(A-D)与图3.9(A-D)的土地覆盖变化分析。本数据集包含45条数据条目，涵盖各管理类别（即巴洛世界/商业用地、公共用地、林业/保育用地及人工林）下1990年至2020年经隐马尔可夫模型（Hidden Markov Model, HMM）后处理的11份GeoTIFF文件。此外，数据集还附带一份R脚本，用于合并所有GeoTIFF文件，并格式化代码以生成四类管理类别的河流图与柱状图。本数据集旨在展示不同管理类别下各土地覆盖类别（即NVF、外来植被、本土森林、草地及杂木草原）的变化情况，助力识别各类管理类别及整个研究区域内土地覆盖变化的驱动因子。需特别说明的是，由于本数据集经HMM后处理，其呈现的土地覆盖变化结果具备真实性。数据收集时间：2020年2月；数据收集地点：南非姆普马兰加省与林波波省的布莱德河峡谷保护区及周边区域。