spectre.citations {gecko}

Get in text citations for SPECTRE layers

Description

Generate in-text citations for a selection of SPECTRE layers.

Usage

spectre.citations(index)

Arguments

index

numeric. A vector of integers specifying the layers. Refer to the Details section.

Details

The current layers in SPECTRE are:

1. MINING_AREA. Mining density based on the number of known mining properties (pre-operational, operational, and closed) in a 50-cell radius (1x1 km cells).

2. HAZARD_POTENTIAL. Number of significant hazards (earthquakes, volcanoes, landslides, floods, drought, cyclones) potentially affecting cells based on hazard frequency data.

3. HUMAN_DENSITY Continuous metric of population density.

4. BUILT_AREA Percentage metric indicating the built-up presence.

5. ROAD_DENSITY. Continuous metric of road density.

6. FOOTPRINT_PERC. Percentage metric indicating anthropogenic impacts on the environment.

7. IMPACT_AREA. Classification of land into very low impact areas (1), low impact areas (2) and non-low impact areas (3).

8. MODIF_AREA. Continuous 0-1 metric that reflects the proportion of a landscape that has been modified.

9. HUMAN_BIOMES. Classification of land cover into different anthropogenic biomes of differing pressure such as dense settlements, villages and cropland.

10. FIRE_OCCUR. Continuous metric of mean fire occurrence during the years of 2006 and 2016.

11. CROP_PERC_UNI. Percentage metric indicating the proportion of cropland in each cell.

12. CROP_PERC_IIASA. Percentage metric indicating the proportion of cropland in each cell.

13. LIVESTOCK_MASS. Estimated total amount of livestock wet biomass based on global livestock head counts.

14. FOREST_LOSS_PERC. Continuous -100 to 100 metric of forest tree cover loss between 2007 and 2017.

15. FOREST_TREND. Classification metric of 0 (no loss) or a discrete value from 1 to 17, representing loss (a stand-replacement disturbance or change from a forest to non-forest state) detected primarily in the year 2001-2019, respectively.

16. NPPCARBON_GRAM. Quantity of carbon needed to derive food and fiber products (HANPP).

17. NPPCARBON_PERC. HANNP as a percentage of local Net Primary Productivity.

18. LIGHT_MCDM2. Continuous simulated zenith radiance data.

19. FERTILIZER_LGHA. Continuous metric of kilograms of fertilizer used per hectare.

20. TEMP_TRENDS. Continuous metric of temperature trends, based on the linear regression coefficients of mean monthly temperature for the years of 1950 to 2019.

21. TEMP_SIGNIF. Continuous metric of temperature trend significance, the temperature trends divided by its standard error.

22. CLIM_EXTREME. Continuous metric calculated as whatever is the largest of the absolute of the trend coefficients of the months with the lowest or highest mean temperatures.

23. CLIM_VELOCITY. Continuous metric of the velocity of climate change, the ratio between TEMP_TRENDS and a local spatial gradient in mean temperature calculated as the slope of a plane fitted to the values of a 3x3 cell neighbourhood centered on each pixel.

24. ARIDITY_TREND. Continuous metric of aridity trends, based on the linear regression coefficients of aridity for the years of 1990 to 2019, i.e: MPET/(MPRE+1).

Value

list. Contains two elements, both characters: the first a single character containing the in-text citations, the second a character of length x with the bibliographic citations.

Examples

sources = c(2,3)
out = spectre.citations(sources)