Ecological Footprint And National Biocapacity
Exploring Global Carbon, Production and Consumption Data
@kaggle.thedevastator_uncovering_links_between_ecological_footprint_an
Exploring Global Carbon, Production and Consumption Data
@kaggle.thedevastator_uncovering_links_between_ecological_footprint_an
By Mikel Evans [source]
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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- 🚨 Your notebook can be here! 🚨!
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:
- 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
If you use this dataset in your research, please credit the original authors.
Data Source
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.
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) |
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.
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
);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
);Anyone who has the link will be able to view this.