Global Data Coverage
This page describes the coverage of the global variable datasets used in GLOBE.
LandScan 2007 population density was used as a land mask to select all Global Land Units (GLUs) that contained land. This created a base extent and resolution (30 arcsec) to which all global variable datasets were converted. If the native extent of a global variable was less than that of LandScan 2007 (typically small islands were not included), and it was appropriate and/or possible to extend the variable (e.g. mean temperature can be extrapolated, whereas world protected areas cannot), then the global variable was extrapolated to include as much land mass as possible. A tiered classification was developed that summarizes the final coverage (i.e. extent) and degree of extrapolation applied to the native data.
|1||GLUs containing LandScan 2007 cells covered by original data|
|2||GLUs containing LandScan 2007 cells covered by extrapolating original data|
|3||GLUs containing LandScan 2007 cells not covered by original or extrapolated data|
Any given GLU might contain native values for all global variables, extrapolated variable values, or no data. The smaller the amount of land covered by a GLU, the more likely it is that certain global variables were extrapolated and/or missing. A report of the percent of GLUs that contain data for the given number of global variables (for which global coverage is possible and/or appropriate) is given below.
Global Coverage Report
|Variables Covered (#)||Frequency||Percent||Cumulative Percent|
Nearly 90% of GLUs are missing data for 2 or fewer global variables, and 86% of GLUs have data for all variables intended to have global coverage.
Coverage reports for individual global variables are provided on each variable’s documentation page.