# gorillas

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##### Gorilla Nesting Sites

Locations of nesting sites of gorillas, and associated covariates, in a National Park in Cameroon.

Keywords
datasets
##### Usage
data(gorillas)
##### Details

These data come from a study of gorillas in the Kagwene Gorilla Sanctuary, Cameroon, by the Wildlife Conservation Society Takamanda-Mone Landscape Project (WCS-TMLP). A detailed description and analysis of the data is reported in Funwi-Gabga and Mateu (2012).

The dataset gorillas is a marked point pattern (object of class "ppp") giving the spatial locations of 647 nesting sites of gorilla groups observed in the sanctuary over time. Locations are given as UTM (Zone 32N) coordinates in metres. The observation window is the boundary of the sanctuary, represented as a polygon. Marks attached to the points are: [object Object],[object Object],[object Object] Note that the data contain duplicated points (two points at the same location). To determine which points are duplicates, use duplicated.ppp. To remove the duplication, use unique.ppp.

The accompanying dataset gorillas.extra contains spatial covariate information. It is a named list containing seven pixel images (objects of class "im") giving the values of seven covariates over the study region. It also belongs to the class "listof" so that it can be plotted. The component images are: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

For further information see Funwi-Gabga and Mateu (2012).

##### format

gorillas is a marked point pattern (object of class "ppp") representing nest site locations.

gorillas.extra is a named list of 7 pixel images (objects of class "im") containing spatial covariates. It also belongs to the class "listof".

All spatial coordinates are in metres. The coordinate reference system is WGS_84_UTM_Zone_32N.

##### Raw Data

For demonstration and training purposes, the raw data file for the vegetation covariate is also provided in the spatstat package installation, as the file vegetation.asc in the folder rawdata/gorillas. Use system.file to obtain the file path: system.file("rawdata/gorillas/vegetation.asc", package="spatstat"). This is a text file in the simple ASCII file format of the geospatial library GDAL. The file can be read by the function readGDAL in the rgdal package, or alternatively read directly using scan.

##### source

Field data collector: Wildlife Conservation Society Takamanda-Mone Landscape Project (WCS-TMLP). Please acknowledge WCS-TMLP in any use of these data.

Data kindly provided by Funwi-Gabga Neba, Data Coordinator of A.P.E.S. Database Project, Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.

The collaboration of Prof Jorge Mateu, Universitat Jaume I, Castellon, Spain is gratefully acknowledged.

##### References

Funwi-Gabga, N. (2008) A pastoralist survey and fire impact assessment in the Kagwene Gorilla Sanctuary, Cameroon. M.Sc. thesis, Geology and Environmental Science, University of Buea, Cameroon.

Funwi-Gabga, N. and Mateu, J. (2012) Understanding the nesting spatial behaviour of gorillas in the Kagwene Sanctuary, Cameroon. Stochastic Environmental Research and Risk Assessment 26 (6), 793--811.

##### Aliases
• gorillas
• gorillas.extra
##### Examples
summary(gorillas)
plot(gorillas)
plot(gorillas.extra)
Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)

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