Special Issue: Spatial Statistics in Forestry

Forest science has applied numerous methods for statistical analysis of forestry problems, including aspects related to physiology, ecology, biology, genetics, hydrology, disturbances, soils and nutrient cycling, forest health, wildlife, climate change, biometrics/inventory, silviculture, forest operations, forest management, forest economics and forest biomass utilization, between others. Nowadays, forest sciences has incorporated spatial elements to better understand patterns and structures behind a broad spectrum of forest aspects related to forest ecosystems, and resources, forest ecology and biology, and forest conservation and management. This general approach of forest problems can be analysed considering the three main type of spatial data, namely, geostatistical data, lattice data and spatial point patterns. The development of computer software such as Geographic Information Systems (GIS), the utilization of tools such as the Global Positioning System (GPS), and the dramatic increase in processing speed and memory on personal computers have clearly contributed to such a tendency. The incorporation of spatial information has revealed, and continues revealing, unexpected results from non-spatial models.

In this special issue, we encourage researchers to submit their papers that are associated with forest sciences in, but not limited to, the following aspects:

1. Probability and spatial statistical theories applied to forest sciences

2. Definition of new space growth, yield and ecological forestry models and their statistical inference including Bayesian method, parametric and nonparametric estimation, and their simulation

3. Development of new spatial statistical methods applied to forestry problems

4. Applications of spatial processes and novel statistical methods in forestry sciences

5. Review articles related to the history of spatial processes and statistical methods applied to forest sciences.

Call for Papers Flyer: Spatial Statistics in Forestry