Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...

Currently, there is a need to establish new territorial planning instruments focused on sustainable development. The simulation of spatial scenarios an essential tool evaluate different alternatives for urban planning. objective this work was explore future growth through the analysis landscape patterns and economic quantification ecosystem services three prospective scenarios, simulated toward...

Habitat quality is the key to regional ecological restoration and green development, land use change an essential factor affecting habitat quality. Studying spatial temporal evolution characteristics of under multiple scenarios significant for management, preventing future environmental risks. We used improved Logistic-CA-Markov (Logistic-Cellular Automata-Markov) InVEST (Integrated Valuation E...

The contradiction between population and cultivated land has always been an urgent global problem, one that is particularly prominent in China. Based on the spatial–temporal evolution of land, this paper discusses human–land its development trend. Then, according to threshold different protection objectives, priority area was simulated. results showed that: (1) cellular automata (CA)–Markov mod...

Changes in land use/land cover (LULC) watersheds of Ambon City are influenced by human activities,mostly driven socio-economic factors. the watershed thecenter have potential to trigger land-use change which will an impact on landdegradation, water pollution, flooding, and erosion increase future. Therefore, theutilization efficiency area must be increased based rational planning. The objective...

Pine wilt disease (PWD) has become a devastating that impacts China’s forest management. It is of great significance to accurately predict PWD on geospatial scale prevent its spread. Using the Cellular Automata (CA)–Markov model, this study predicts occurrence area in Anhui Province 2030 based PWD-relevant factors, such as weather, terrain, population, and traffic. spatial autocorrelation analy...