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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

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Title: 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
Authors: Glenn Moncrieff, Keletso Moilwe, Jasper Slingsby, Vernon Visser
Publication Year: 2024
Collection: University of Cape Town: Figshare
Subject Terms: Terrestrial ecology, Cartography and digital mapping, Photogrammetry and remote sensing, Biosecurity science and invasive species ecology, Spatial data and applications, Sankey plot, Repeatability, Land cover change quantification, Hidden Markov Model, post-processing algorithms
Description: 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 2020 Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.
Document Type: dataset
Language: unknown
DOI: 10.25375/uct.24885267.v1
Availability: https://doi.org/10.25375/uct.24885267.v1
https://figshare.com/articles/dataset/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_class/24885267
Rights: CC BY 4.0
Accession Number: edsbas.4BC944F8
Database: BASE
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  – Url: https://doi.org/10.25375/uct.24885267.v1#
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  Data: 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
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Glenn+Moncrieff%22">Glenn Moncrieff</searchLink><br /><searchLink fieldCode="AR" term="%22Keletso+Moilwe%22">Keletso Moilwe</searchLink><br /><searchLink fieldCode="AR" term="%22Jasper+Slingsby%22">Jasper Slingsby</searchLink><br /><searchLink fieldCode="AR" term="%22Vernon+Visser%22">Vernon Visser</searchLink>
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2024
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  Label: Collection
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  Data: University of Cape Town: Figshare
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  Data: <searchLink fieldCode="DE" term="%22Terrestrial+ecology%22">Terrestrial ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Cartography+and+digital+mapping%22">Cartography and digital mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Photogrammetry+and+remote+sensing%22">Photogrammetry and remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Biosecurity+science+and+invasive+species+ecology%22">Biosecurity science and invasive species ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+data+and+applications%22">Spatial data and applications</searchLink><br /><searchLink fieldCode="DE" term="%22Sankey+plot%22">Sankey plot</searchLink><br /><searchLink fieldCode="DE" term="%22Repeatability%22">Repeatability</searchLink><br /><searchLink fieldCode="DE" term="%22Land+cover+change+quantification%22">Land cover change quantification</searchLink><br /><searchLink fieldCode="DE" term="%22Hidden+Markov+Model%22">Hidden Markov Model</searchLink><br /><searchLink fieldCode="DE" term="%22post-processing+algorithms%22">post-processing algorithms</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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 2020 Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.
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  Data: 10.25375/uct.24885267.v1
– Name: URL
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  Data: https://doi.org/10.25375/uct.24885267.v1<br />https://figshare.com/articles/dataset/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_class/24885267
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  Data: CC BY 4.0
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  Data: edsbas.4BC944F8
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.25375/uct.24885267.v1
    Languages:
      – Text: unknown
    Subjects:
      – SubjectFull: Terrestrial ecology
        Type: general
      – SubjectFull: Cartography and digital mapping
        Type: general
      – SubjectFull: Photogrammetry and remote sensing
        Type: general
      – SubjectFull: Biosecurity science and invasive species ecology
        Type: general
      – SubjectFull: Spatial data and applications
        Type: general
      – SubjectFull: Sankey plot
        Type: general
      – SubjectFull: Repeatability
        Type: general
      – SubjectFull: Land cover change quantification
        Type: general
      – SubjectFull: Hidden Markov Model
        Type: general
      – SubjectFull: post-processing algorithms
        Type: general
    Titles:
      – TitleFull: 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
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Glenn Moncrieff
      – PersonEntity:
          Name:
            NameFull: Keletso Moilwe
      – PersonEntity:
          Name:
            NameFull: Jasper Slingsby
      – PersonEntity:
          Name:
            NameFull: Vernon Visser
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
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              Value: edsbas
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