Biodiversity and infrastructure interact to drive tourism to and within Costa Rica
Data files
Jul 31, 2022 version files 7.97 MB
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abirdDiversity_te.tif
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abirdDiversity.tif
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amphibians.tif
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arm_diversity.tif
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bio1.tif
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bio12.tif
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bio15.tif
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bio4.tif
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Costa_Rican_birds_endemic_JZ.xlsx
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distPAs.tif
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distRoads.tif
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distWater.tif
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ebird_base.tif
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ebird_noBio.tif
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ebird_noInfra.tif
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fcover1.tif
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fcover2.tif
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fcover3.tif
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flickr_base.tif
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flickr_noBio.tif
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flickr_noInfra.tif
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flickr.csv
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hotelDensity.tif
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mammals.tif
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README.txt
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reptiles.tif
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tree-cover.tif
Abstract
Methods
The methods for how data were collected or produced are all stated in the main manuscript and in the Supporting Information (SI).
Usage notes
The data contains rasters and CSVs necessary to run the code associated with the Echeverri, Smith, et al. PNAS paper titled: "Biodiversity and infrastructure interact to drive tourism to and within Costa Rica".
Scripts are available in: (https://github.com/jeffreysmith-jrs/natcapCR/blob/main/bin/tourismModel.R).
These are modified versions of publicly available data (cited in the main MS) that allow reproducibility of results.
The files and their descriptions are as followed:
- arm_diversity.tif: Map showing combined species richness of amphibians, reptiles, and mammals (unit: # of species)
- amphibians.tif: Map showing species richness of amphibians (unit: # of species)
- reptiles.tif: Map showing species richness of reptiles (unit: # of species)
- mammals.tif: Map showing species richness of mammals (unit: # of species)
- abirdDiversity.tif: Map showing species richness of birds (unit: # of species)
- abirdDiversity_te.tif: Map showing species richness of threatened and endemic bird species (see Costa_Rican_Birds_endemic_JZ.csv, unit: # of species)
- tree-cover.tif: Map showing percent tree cover (unit: percentage)
- distWater.tif: Map showing distance to water (unit: kilometers)
- distRoads.tif: Map showing distance to roads (unit: kilometers)
- distPAs.tif: Map showing distance to protected areas (unit: kilometers)
- hoteDensity.tif: Map showing hotel density (see Hotels_revised_duplicates_deleted.csv, unit: unitless index)
- fcover1.tif: Map showing percentage non-photosynthetic bare ground (unit: percentage)
- fcover2.tif: Map showing percentage photosynthetic ground cover (unit: percentage)
- fcover3.tif: Map showing percentage impervious ground cover (unit: percentage)
- bio1.tif: Map showing mean annual temperature (unit: degrees Celsius * 10)
- bio4.tif: Map showing temperature seasonality (unit: unitless)
- bio12.tif: Map showing mean annual precipitation (unit: millimeters)
- bio15.tif: Map showing precipitation seasonality (unit: millimeters)
- Hotels_revised_duplicates_deleted.csv: CSV filed containing georeferenced locations of Costa Rican hotels
- flickr.csv: CSV filed containing georeferenced locations of Flickr photos
- checklist_uploads.csv: CSV filed containing georeferenced locations of eBird checklists
- Costa_Rican_Birds_endemic_JZ.csv: CSV file containing data on which species are IUCN listed and/or endemic in Costa Rica compiled by paper co-author Jim Zook
In addition, we have included 6 result maps which allow for reproducibility of figures:
- ebird_base.tif: Predicted tourism using model constructed with all predictor variables and eBird checklists (unit: index between 0 and 1)
- ebird_noBio.tif: Predicted tourism using model constructed without biodiversity predictor variables and eBird checklists (unit: index between 0 and 1)
- ebird_noInfra.tif: Predicted tourism using model constructed without infrastructure variables and eBird checklists (unit: index between 0 and 1)
- flickr_base.tif: Predicted tourism using model constructed with all predictor variables and flickr photos (unit: index between 0 and 1)
- flickr_noBio.tif: Predicted tourism using model constructed without biodiversity predictor variables and flickr photos (unit: index between 0 and 1)
- flickr_noInfra.tif: Predicted tourism using model constructed without infrastructure variables flickr photos (unit: index between 0 and 1)