FIA database to state tables (*CSV)
Mukti Subedi
The United States Department of Agriculture (USDA) run Forest Inventory and Analysis (FIA) program. FIA Datamart allows to download raw data files, standard tables,
SQLite databases, and a desktop EVALIDator reporting tool. DataMart also provides access to the FIA State reports, FIADB most recent load history, API EVALIDator,
and FIADB User Guides.
Out of these data, SQLite database, and raw data files are important for analysist who is interested to run his/her own analysis. Usually, raw state tables (in csv) are
easy to use as only few of them are required to have full access to time-series FIA data. However, due to some internal reporting inconsistencies, FIA raw data are not available
for public since April 13, 2022.
Inabiliiy to access raw data hamper people to use rFIA package. In light of this, this brief document shows the necessary process to create state raw tables based on
SQLite 3 database which is available for download from here https://apps.fs.usda.gov/fia/datamart/datamart_sqlite.html.
Repeated Cross Validation of Spatial Point Data for Tidymodeling
Mukti Subedi
This document shows the clustering of spatial point data to be used in a tidy modeling approach.
Especially, It shows the 5-Fold Cross-Validation with 5-repeats as an example, using hierarchical and partitioning
clustering in spatial point data. However, it does not include the source code, as it is part of a work in progress.
You can read this document from rpubs.com
Geospatial Data in Python: Software Preparation, Data Reading, and Displaying
Mukti Subedi
This document is a short introduction to loading and visualizing point shapefile data in python. Document starts with installing python, anaconda, and other required packages. I used jupyter lab and converted *.ipynb file to latex and prepared pdf using TexWorks.
You can read this document from my github page