integrateIntensityLocal_normal | R Documentation |
Calculate the integral of the intensity function with an isotropic multivariate normal kernel over a set of windows. The local evaluation technique is implemented.
integrateIntensityLocal_normal( lowerCoords, upperCoords, s, baseIntensities, sd, numLocalWindows, localWindows )
lowerCoords, upperCoords |
Matrices of lower and upper x- and y-coordinates of a set of windows. One row for each window. |
s |
Vector of x- and y-coordinates of the isotropic multivariate normal distribution mean (AC location). |
baseIntensities |
Vector of baseline intensities for all windows. |
sd |
Standard deviation of the isotropic multivariate normal distribution. |
numLocalWindows |
Number of windows that are close to the activity center |
localWindows |
Vector of indices of the windows that are close to the activity center. |
A vector of integrated intensities over all local windows.
Cyril Milleret and Wei Zhang
W. Zhang, J. D. Chipperfield, J. B. Illian, P. Dupont, C. Milleret, P. de Valpine and R. Bischof. 2020. A hierarchical point process model for spatial capture-recapture data. bioRxiv. DOI 10.1101/2020.10.06.325035
lowerCoords <- matrix(c(0, 0, 1, 0, 0, 1, 1, 1), nrow = 4, byrow = TRUE) upperCoords <- matrix(c(1, 1, 2, 1, 1, 2, 2, 2), nrow = 4, byrow = TRUE) s <- c(0.1, 0.9) sd <- 0.1 baseIntensities <- c(1:4) numLocalWindows <- 2 localWindows <- c(1, 3) integrateIntensityLocal_normal(lowerCoords, upperCoords, s, baseIntensities, sd, numLocalWindows, localWindows)
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