State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …

State‐space models are an increasingly common and important tool in the quantitative
ecologists' armoury, particularly for the analysis of time‐series data. This is due to both their …

In Borchers et al.(2002), a unifying framework was given for the plethora of methods for
estimating the abundance of closed populations of animals. In Chap. 13 of that book, the …

Statistical and mathematical models are defined by parameters that describe different
characteristics of those models. Ideally it would be possible to find parameter estimates for …

Precise and accurate estimates of abundance and demographic rates are primary quantities
of interest within wildlife conservation and management. Such quantities provide insight into …

This paper describes a regional optimal model curve equation to measure and calculate
sustainable development assessment impact data related to infrastructure construction in …

Sustainability research in the construction industry is of great strategic significance to the
ecological environment of countries worldwide. This paper innovates theoretical models …

Camera trap** is widely used in ecological studies to estimate animal density, although
these studies are largely restricted to animals that can be identified to the individual level …

Inferring interactions between populations of different species is a challenging statistical
endeavour, which requires a large amount of data. There is therefore some incentive to …

State-space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …