metis.grid2poly: metis.grid2poly

In JGCRI/metis: Multi-Scale Multi-Sector Analysis

Description

This function takes a .csv file with gridded lat, long data and aggregates the data by spatial boundaries given different shapefiles.

Usage

metis.grid2poly(
  gridFiles = NULL,
  regionName = "region",
  subRegShape = NULL,
  subRegShpFolder = NULL,
  subRegShpFile = NULL,
  subRegCol = NULL,
  subRegType = "subRegType",
  aggType = NULL,
  dirOutputs = paste(getwd(), "/outputs", sep = ""),
  folderName = NULL,
  nameAppend = "",
  labelsSize = 1.2,
  paramsSelect = "All",
  scenariosSelect = "All",
  paramScenariosFixed = NULL,
  tethysFilesScarcity = NULL,
  xanthosFilesScarcity = NULL,
  printGridOverlay = F,
  saveFiles = T
)

Arguments

gridFiles	Default=NULL. Grid file in .csv format or a R table, data frame or tibble with as a minimum columns with "lat","lon" and "value",
regionName	Default = "region"
subRegShape	Default=NULL. shapefile over which grid data is to be aggregated.
subRegShpFolder	Default=NULL. Folder containing boundary region shapefile. Suggested paste(getwd(),"/dataFiles/gis/naturalEarth",sep Default=""),
subRegShpFile	Default=NULL. Name of sub-region shapefile. Suggested paste("ne_10m_admin_1_states_provinces",sep Default=""),
subRegCol	Default= NULL. Suggested for states "name",
subRegType	Default="subRegType". Eg. "states", "basins" etc.
aggType	Default=NULL. Aggregation method to be used. Either "vol" or "depth" dependening on the type of data provided.
dirOutputs	Default=paste(getwd(),"/outputs",sep Default=""),
folderName	Default = NULL
nameAppend	Default="",
labelsSize	Default =1.2. Label size for the region names for the gridoverlay plot.
paramsSelect	Default ="All"
scenariosSelect	Default ="All"
paramScenariosFixed	Default=NULL
tethysFilesScarcity	Default =NULL,
xanthosFilesScarcity	Default =NULL
printGridOverlay	Default = F
saveFiles	Default =T

Value

A table with data by polygon ID for each shapefile provided

JGCRI/metis documentation built on April 12, 2021, 12:07 a.m.