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Environmental Variables For World Countries

Misc climatic and environmental variables for world countries

@kaggle.zanderventer_environmental_variables_for_world_countries

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About this Dataset

Environmental Variables For World Countries

Context

Assessing country-level social and economic statistics are often limited to socio-economic data. Not any more! This dataset will be maintained and updated with miscellaneous environmental data for countries across the globe.

Content

This data is all acquired through Google Earth Engine (https://earthengine.google.com/) where publicly available remote sensing datasets have been uploaded to the cloud to be manipulated by the average Joe like you and I. Most of the data is derived by calculating the mean for each country at a reduction scale of about 10km.

Inspiration

  • Can you use environmental statistics to predict social and economic data?
  • Are people more happy in sunny countries?
  • How do economies in forested countries compare with those dominated by grassland/desert?

Tables

Data Variable Description

@kaggle.zanderventer_environmental_variables_for_world_countries.data_variable_description
  • 4.33 KB
  • 27 rows
  • 3 columns
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CREATE TABLE data_variable_description (
  "variable_name" VARCHAR,
  "description" VARCHAR,
  "source" VARCHAR
);

World Countries Env Vars

@kaggle.zanderventer_environmental_variables_for_world_countries.world_countries_env_vars
  • 78.86 KB
  • 243 rows
  • 28 columns
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CREATE TABLE world_countries_env_vars (
  "country" VARCHAR,
  "accessibility_to_cities" DOUBLE,
  "elevation" DOUBLE,
  "aspect" DOUBLE,
  "slope" DOUBLE,
  "cropland_cover" DOUBLE,
  "tree_canopy_cover" DOUBLE,
  "isothermality" DOUBLE,
  "rain_coldestquart" DOUBLE,
  "rain_driestmonth" DOUBLE,
  "rain_driestquart" DOUBLE,
  "rain_mean_annual" DOUBLE,
  "rain_seasonailty" DOUBLE,
  "rain_warmestquart" DOUBLE,
  "rain_wettestmonth" DOUBLE,
  "rain_wettestquart" DOUBLE,
  "temp_annual_range" DOUBLE,
  "temp_coldestquart" DOUBLE,
  "temp_diurnal_range" DOUBLE,
  "temp_driestquart" DOUBLE,
  "temp_max_warmestmonth" DOUBLE,
  "temp_mean_annual" DOUBLE,
  "temp_min_coldestmonth" DOUBLE,
  "temp_seasonality" DOUBLE,
  "temp_warmestquart" DOUBLE,
  "temp_wettestquart" DOUBLE,
  "wind" DOUBLE,
  "cloudiness" DOUBLE
);