Baselight

Ecological Footprint And National Biocapacity

Exploring Global Carbon, Production and Consumption Data

@kaggle.thedevastator_uncovering_links_between_ecological_footprint_an

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About this Dataset

Ecological Footprint And National Biocapacity


Ecological Footprint and National Biocapacity

Exploring Global Carbon, Production and Consumption Data

By Mikel Evans [source]


About this dataset

This dataset, the 2018 Edition of the National Footprint Accounts, provides comprehensive insights into nations' ecological resource use and resource capacity for the years 1961 to 2014. Uncover correlations between human consumption, geography, political and economic conditions with individual country data on total and per capita biocapacity, ecological footprint of consumption and production as well as total area in global hectares. All packed into one dataset from Global Footprint Network's ecological research!

Investigate how our ecologically demanding lifestyles contribute to or detract from global sustainability with this collection of critical global data. Join us in driving action for a sustainable future by using all our resources responsibly - join in leveraging modern analytics on this NFA 2018 Edition data set to explore relationships between nations' pattern of resource use and their possible impacts on nature. Assistance can come in many forms: joining other related datasets to create deeper insights; writing queries; creating visualizations; posting findings – all contributions welcome! Take action now by visiting dat world’s Data Explorer clickable link]to explore your favorite country’s performance or check out Global Footprint Network’s website [clickable link]for more information about their Ecological Footprint Measurement project, a life-affirming initiative that aims for planetary balance between people's demand on nature and nature's ability to renew itself!

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How to use the dataset

This guide will provide an overview on how to use this dataset effectively. With this dataset you can:

  • Analyze country-specific trends in ecological footprint and biocapacity
  • Compare regions/countries with regard to ecological/biocapacity metrics
  • Investigate resource usage differences by activity type (e.g., crop_land vs forest_land)
  • Create infographics outlining the Environmental Responsibility metric of Earth Overshoot Day

On first glance the dataset seems extremely organized—however its most important details can be hard to find with so many columns! Below is a breakdown of each column necessary for working with this data:

Country Name: Name of the country (String)
GFN Country Code: Global Footprint Network's country code (Integer)
ISO Alpha-2 Code: International Organization for Standardization's two-letter code (String)
ISO Alpha-3 Code: International Organization for Standardization's three-letter code (String) year: Year of the data (Integer) **country_code:

Research Ideas

  • Comparing the ecological footprint of different countries over time and understanding the environmental impact of economic development.
  • Developing demographic models to assess differences in human consumption between cities, regions, or countries and its corresponding impacts on natural resources.
  • Creating visualization tools to better understand how national biocapacity and ecological footprints are shaped by built-up land, crop land, fishing grounds, forest land, grazing land and carbon outputs within a country

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

  • You are free to:
    • Share - copy and redistribute the material in any medium or format for any purpose, even commercially.
    • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • You must:
    • Give appropriate credit - Provide a link to the license, and indicate if changes were made.
    • ShareAlike - You must distribute your contributions under the same license as the original.

Columns

File: GFN Country code concordance table.csv

Column name Description
Country Name Name of the country. (String)
GFN Country Code Global Footprint Network's country code. (Integer)
ISO Alpha-2 Code International Organization for Standardization's two-letter country code. (String)
ISO Alpha-3 Code International Organization for Standardization's three-letter country code. (String)

File: NFA 2018 Edition.csv

Column name Description
country Name of the country. (String)
year Year of the data. (Integer)
country_code Country code of the country. (String)
record Record type of the date. (String)
crop_land Area of land used for crop production. (Float)
grazing_land Area of land used for grazing. (Float)
forest_land Area of land used for forestry. (Float)
fishing_ground Area of land used for fishing. (Float)
built_up_land Area of land used for built-up purposes. (Float)
carbon Carbon footprint of the country. (Float)
total Total ecological footprint of the country. (Float)
QScore Quality score of the data. (Integer)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Mikel Evans.

Tables

Gfn Country Code Concordance Table

@kaggle.thedevastator_uncovering_links_between_ecological_footprint_an.gfn_country_code_concordance_table
  • 11.93 KB
  • 246 rows
  • 5 columns
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CREATE TABLE gfn_country_code_concordance_table (
  "index" BIGINT,
  "country_name" VARCHAR,
  "gfn_country_code" BIGINT,
  "iso_alpha_2_code" VARCHAR,
  "iso_alpha_3_code" VARCHAR
);

Nfa 2018 Edition

@kaggle.thedevastator_uncovering_links_between_ecological_footprint_an.nfa_2018_edition
  • 3.25 MB
  • 69616 rows
  • 13 columns
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CREATE TABLE nfa_2018_edition (
  "index" BIGINT,
  "country" VARCHAR,
  "year" BIGINT,
  "country_code" BIGINT,
  "record" VARCHAR,
  "crop_land" DOUBLE,
  "grazing_land" DOUBLE,
  "forest_land" DOUBLE,
  "fishing_ground" DOUBLE,
  "built_up_land" DOUBLE,
  "carbon" DOUBLE,
  "total" DOUBLE,
  "qscore" VARCHAR
);

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