commit

DESCRIPTION

@@ -8,12 +8,13 @@ Authors@R:
     person(given = "Inyoo", family = "Kim", role = c("aut", "ctb"), email = "[email protected]", comment = c(ORCID = "0000-0002-7709-8224")),
     person(given = "Wontaek", family = "Lim", role = c("aut", "ctb"), email = "[email protected]", comment = c(ORCID = "0000-0002-5872-1121")),
     person(given = "Dongwook W.",family = "Ko", role = c("aut","ths"), email = "[email protected]", comment = c(ORCID = "0000-0002-6944-0261")))
-Description: Understanding the current status of forest resources is essential for monitoring changes in the forest ecosystem and producing related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest surveys, forest resource surveys, and forest vegetation surveys. Many researchers are using NFI as primary data for research when estimating biomass or analyzing the importance value of each species in the time and space suitable for the research purpose. However, the accumulation of various forest survey data across the country limits the use of vast data. Therefore, this study developed an algorithm that efficiently processes vast amounts of NFI data in time and space using the statistical analysis software R. The developed algorithm first reconstructs NFI in time and space according to the researcher's purpose and performs integrity verification to maintain data quality. Subsequently, summary statistics, biodiversity, importance value, and biomass are analyzed using the verified data. Finally, visualizing the analysis results allows spatio-temporal access to forest ecosystem changes.
-License: GPL (>= 3)
+Description: Understanding the current status of forest resources is essential for monitoring changes in the forest ecosystem and producing related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest surveys, forest resource surveys, and forest vegetation surveys. Many researchers are using NFI as primary data for research when estimating biomass or analyzing the importance value of each species in the time and space suitable for the research purpose. However, the accumulation of various forest survey data across the country limits the use of vast data. Therefore, this study developed an algorithm that efficiently processes vast amounts of NFI data in time and space using the statistical analysis software R. The developed algorithm first reconstructs NFI in time and space according to the researcher's purpose and performs integrity verification to maintain data quality. Subsequently, summary statistics, biodiversity, importance value, and biomass are analyzed using the verified data. Finally, visualizing the analysis results allows spatio-temporal access to forest ecosystem changes. This algorithmic approach significantly enhances the efficiency of processing and analyzing NFI data. It's important to note that the raw NFI data is not included in the developed R package. Researchers interested in accessing the original NFI datasets should visit the Korea Forest Service Forestry Statistics Platform <https://kfss.forest.go.kr/stat/ptl/article/articleList.do?curMenu=11694&bbsId=microdataboard> to manually download the annual NFI file subsets as .zip files. This package is designed to process and analyze these downloaded datasets.
+License: GPL-3
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
 RoxygenNote: 7.3.2
+Remotes: kadmin=github::SYOUNG9836/kadmin
 Additional_repositories: https://SYOUNG9836.github.io/drat
 URL: https://github.com/SYOUNG9836/knfi, https://syoung9836.github.io/knfi/
 BugReports: https://github.com/SYOUNG9836/knfi/issues