Forest cover landscape metrics.
forest_cover_interviews.Rd
Forest cover around rural property locations in Amapá, Brazil. Includes landscape metrics for MapBiomas forest cover class.
Values for one metric cpland
calculated using package landscapemetrics.
cpland
is the percentage of core area of class in relation to the total landscape area.
Landscape metric from MapBiomas forest cover class.
Metrics are calculated around each property in buffers with radius of:
0.125, 0.25, 0.5, 1, 2, 4, 8 and 16 km. To reduce influence of satellite
image quality, the metric values are median values from three years:
study year, year before and year after.
Format
`forest_cover_interviews` is a dataframe, with:
- aid
Property identifier.
- long
Longitude. Decimal degrees (EPSG:4326).
- lat
Latitude. Decimal degrees (EPSG:4326).
- Habitat_WWF
Terrestrial ecoregion. https://doi.org/10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
- metric
Metric identifier from landscapemetrics.
- buff_dist_km
Buffer distance. Radius in km.
- value_median
Median value of landscape metric.
References
Michalski, F., Boulhosa, R. L. P., Nascimento, Y. N. D., & Norris, D. (2020). Rural wage-earners’ attitudes towards diverse wildlife groups differ between tropical ecoregions: implications for forest and savanna conservation in the Brazilian Amazon. Tropical Conservation Science, 13, https://doi.org/10.1177/1940082920971747.
Examples
# check data. 106 properties and 8 buffer distances.
table(forest_cover_interviews$buff_dist_km)
#>
#> 0.125 0.25 0.5 1 2 4 8 16
#> 106 106 106 106 106 106 106 106