Name: Chile Vegetation Belts & Bioclimate Analysis
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Chile Vegetation Belts & Bioclimate Analysis

Representativeness, Conservation, and Climate Change Impacts

By [source]

About this dataset

This fascinating dataset contains an array of information related to the vegetation belts and bioclimates of Chile, providing geographic locations details and references, along with categorical data and thorough analysis. It includes an exhaustive collection of information about Chilean bioclimates such as their representativeness, conservation statuses, and climate change impacts. With this wealth of detailed data you can get more complete picture about the influence that this nation's bioclimates may have on its environment. From a geographically precise source of coordinates as to latitude and longditude points, through categories, subcategories, floor codes and names included in the dataset columns we can be sure to have accurate information to work out which conservation actions might be taken in certain bioclimate areas or how they may affect different regions or levels of development. All in all it's an incredibly rich trove whether if you're looking for deeper analysis or simply want a snapshot view on the region's biological life--so don't hesitate consult it!

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How to use the dataset

Use the Geographic Coordinates column to identify the location of a belt or bioclimate on a map.

Utilize the Region column to identify which part of Chile a given belt is located in you are looking for more detailed information about that region’s environment or culture as it relates to its biocrlimates.

Look at additional columns such as Altitude or Bioclimtae that can be used for further analysis if you have interest in understanding how such variables may impact biodiversity across different landscapes or if there is any overlap between two different belts in terms of their elevation above sea level!

References can help you find out-sourced research related to various topics concerning certain belts or bioclimates; these could cover issues ranging from current utilization/conservation status alllllllllll way up through potential impacts due too global climate change!

By using this dataset and following these steps you can better understand Chilean vegetation belts & bioclimates: their geographic location relative to one another; aspects relating too regional environments/cultures; how altitude/climate types affect local biodiversity; and so much more!

Research Ideas

Using this dataset, governments and institutions can plan how to implement conservation policies in order to protect the vegetation belts and bioclimate of Chile.

This dataset could also be used by companies and organizations as a tool for assessing climate change risk associated with business operations/investments located in certain regions of Chile.

The data could be used by scientists, resource managers, and educators to engage in spatial studies related to the geography of various Chilean vegetation belts, bioclimates, regions, formations and altitudes

Acknowledgements

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

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: extra_intrazonal.csv

Column name	Description
Fuente_coordenadas	Source of coordinates (String)
Región	Region of Chile (String)
Altitud	Altitude (Integer)
Latdec	Latitude in decimal degrees (Float)
Longdec	Longitude in decimal degrees (Float)
Referencia	Reference for the data (String)
Categoria	Category of the data (String)
Subcategoría	Subcategory of data (String)
Codigo_Piso	Code for floor/bioclimate zone/ecoregion area (String)
Nombre_Piso	Name or title given to floor/bioclimate zone/ecoregion area (String)
Comentario	Comment about the data (String)

File: pisos_bioclimas.csv

Column name	Description
Codigo	Unique code assigned to each vegetation belt or bioclimate region. (String)
Nombre	Name credited with the vegetation belt formation or bioclimatic region. (String)
Formacion	Vegetation formation. (String)
Bioclima	Type of biosphere climate located on any specific microcosm nature ecosystems within a certain environment region. (String)

Acknowledgements

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

Tables

Cambio Climatico

@kaggle.thedevastator_chile_vegetation_belts_bioclimate_analysis.cambio_climatico

26.55 kB
125 rows
15 columns

CREATE TABLE cambio_climatico (
  "codigo_piso" VARCHAR,
  "nombre_piso" VARCHAR,
  "superficie_modelada_km2" BIGINT  -- Superficie Modelada (km2),
  "n_2050_26_reducci_n_km2" BIGINT  -- 2050–26 Reducción (km2),
  "n_2050_26_estable_km2" BIGINT  -- 2050–26 Estable (km2),
  "n_2050_26_expansi_n_km2" BIGINT  -- 2050–26 Expansión (km2),
  "n_2050_85_reducci_n_km2" BIGINT  -- 2050–85 Reducción (km2),
  "n_2050_85_estable_km2" BIGINT  -- 2050–85 Estable (km2),
  "n_2050_85_expansi_n_km2" BIGINT  -- 2050–85 Expansión (km2),
  "n_2050_26_reducci_n" DOUBLE  -- 2050–26 Reducción (%),
  "n_2050_26_estable" DOUBLE  -- 2050–26 Estable (%),
  "n_2050_26_expansi_n" DOUBLE  -- 2050–26 Expansión (%),
  "n_2050_85_reducci_n" DOUBLE  -- 2050–85 Reducción (%),
  "n_2050_85_estable" DOUBLE  -- 2050–85 Estable (%),
  "n_2050_85_expansi_n" DOUBLE  -- 2050–85 Expansión (%)
);

Estado Conservacion

@kaggle.thedevastator_chile_vegetation_belts_bioclimate_analysis.estado_conservacion

16.12 kB
125 rows
10 columns

CREATE TABLE estado_conservacion (
  "c_digo_piso" VARCHAR,
  "nombre_piso" VARCHAR,
  "formaci_n" VARCHAR,
  "superficie_total_km2" BIGINT  -- Superficie Total (km2),
  "superficie_remanente_km2" BIGINT  -- Superficie Remanente (km2),
  "p_rdida_proyectada_50_a_os" DOUBLE  -- Pérdida Proyectada 50 Años (%),
  "p_rdida_hist_rica" DOUBLE  -- Pérdida Histórica (%),
  "criterio_uicn_a2b" VARCHAR,
  "criterio_uicn_a3" VARCHAR,
  "evaluaci_n_final" VARCHAR
);

Extra Intrazonal

@kaggle.thedevastator_chile_vegetation_belts_bioclimate_analysis.extra_intrazonal

70.95 kB
1,433 rows
16 columns

CREATE TABLE extra_intrazonal (
  "id" BIGINT,
  "nombre_comunidad" VARCHAR,
  "fuente_coordenadas" VARCHAR,
  "regi_n" VARCHAR,
  "localidad" VARCHAR,
  "altitud" VARCHAR,
  "latdec" DOUBLE,
  "longdec" DOUBLE,
  "referencia" VARCHAR,
  "categoria" VARCHAR,
  "subcategor_a" VARCHAR,
  "codigo_unidad" VARCHAR,
  "nombre_unidad" VARCHAR,
  "codigo_piso" VARCHAR,
  "nombre_piso" VARCHAR,
  "comentario" VARCHAR
);

Otras Unidades Vegetacin

@kaggle.thedevastator_chile_vegetation_belts_bioclimate_analysis.otras_unidades_vegetacin

8.54 kB
63 rows
7 columns

CREATE TABLE otras_unidades_vegetacin (
  "otras_unidades_de_vegetaci_n_cartograf_a_puntual" VARCHAR  -- Otras Unidades De Vegetación (cartografía Puntual),
  "region" VARCHAR,
  "localidad" VARCHAR,
  "latdec" VARCHAR,
  "londec" DOUBLE,
  "fuente" VARCHAR,
  "coordenadas" VARCHAR
);

Pisos Bioclimas

@kaggle.thedevastator_chile_vegetation_belts_bioclimate_analysis.pisos_bioclimas

10.29 kB
184 rows
5 columns

CREATE TABLE pisos_bioclimas (
  "id" BIGINT,
  "codigo" VARCHAR,
  "nombre" VARCHAR,
  "formacion" VARCHAR,
  "bioclima" VARCHAR
);

Representatividad

@kaggle.thedevastator_chile_vegetation_belts_bioclimate_analysis.representatividad

40.97 kB
129 rows
28 columns

CREATE TABLE representatividad (
  "codigo_piso" VARCHAR,
  "nombre_piso" VARCHAR,
  "superficie_total_km2" VARCHAR  -- Superficie Total (km2),
  "superficie_remanente_km2" DOUBLE  -- Superficie Remanente (km2),
  "superficie_total_bnp_km2" DOUBLE  -- Superficie Total BNP (km2),
  "superficie_remanente_bnp_km2" DOUBLE  -- Superficie Remanente BNP (km2),
  "superficie_total_mn_km2" DOUBLE  -- Superficie Total MN (km2),
  "superficie_remanente_mn_km2" DOUBLE  -- Superficie Remanente MN (km2),
  "superficie_total_pn_km2" DOUBLE  -- Superficie Total PN (km2),
  "superficie_remanente_pn_km2" DOUBLE  -- Superficie Remanente PN (km2),
  "superficie_total_rn_km2" DOUBLE  -- Superficie Total RN (km2),
  "superficie_remanente_rn_km2" DOUBLE  -- Superficie Remanente RN (km2),
  "superficie_total_rf_km2" DOUBLE  -- Superficie Total RF (km2),
  "superficie_remanente_rf_km2" DOUBLE  -- Superficie Remanente RF (km2),
  "superficie_total_sn_km2" DOUBLE  -- Superficie Total SN (km2),
  "superficie_remanente_sn_km2" DOUBLE  -- Superficie Remanente SN (km2),
  "superficie_total_icp_km2" DOUBLE  -- Superficie Total ICP (km2),
  "superficie_remanente_icp_km2" DOUBLE  -- Superficie Remanente ICP (km2),
  "superficie_total_po_km2" DOUBLE  -- Superficie Total PO (km2),
  "superficie_remanente_po_km2" DOUBLE  -- Superficie Remanente PO (km2),
  "superficie_total_po_icp_km2" DOUBLE  -- Superficie Total PO+ICP (km2),
  "superficie_remanente_po_icp_km2" DOUBLE  -- Superficie Remanente PO+ICP (km2),
  "po_formula_1" DOUBLE,
  "po_formula_2" DOUBLE,
  "po_formula_3" DOUBLE,
  "po_icp_formula_1" DOUBLE,
  "po_icp_formula_2" DOUBLE,
  "po_icp_formula_3" DOUBLE
);