Abstract—Pests have been greatly damaging the rice yield in Guangdong Province, China in recent year. Traditional pests warning models, based on the mathematical statistics, only considering the relation between weather and monitoring data factors, are limited in large place. As a result, multi-factor spatial overlay model was construction to research the damage of Cnaphalocrocis medinalis in Guangdong Province. The factors include the Cnaphalocrocis medinalis situation, crop condition, and external environment data. By using the GIS technology, the model can make the thematic maps of Cnaphalocrocis medinalis damage in different time. The result can reproduce the spatio-temporal change of Cnaphalocrocis medinalis in Guangdong Province, as well as offer scientific support on prevention of rice pests.
Abstract—At present, how to select a limited but representative sample dataset from the existing land information database to guide the new round of land survey and assessment sampling is a critical issue for land sampling strategy study. As a case study to determine and analyze the sample capacity and sample spatial location of land survey sampling for the study area, Panyu District in Guangzhou, the paper developed the strategy based on the combination of classical sampling technique and geographical model under a certain confidence level and estimation accuracy requirement, and the performance of the sampling strategy was then evaluated by the Global Geary´s C and the Quick-BP neural network model respectively. The test result showed that, compared with traditional c-means clustering sampling method, the accuracy of the sampling prediction based on local Moran index spatial clustering sampling method was increased by 13.57% which abstracted better the land information in the database.
Abstract—Land use change (LUC) model is fundamental in decision making process for regional sustainable development. It is practically important to analyze LUC in rapidly urbanizing region, such as Panyu District of Guangzhou, China, where a fast economy development makes it necessary to study the rule of urban land use change. Taking time-spatial land use change as the key point, a case study is carried out to analyze the land use change process, based on the land use data of 1996, 2005, and 2009. The transformation matrix of land use is calculated to show the spatial pattern and reveal the spatial change process of land use between 1996 and 2009. A multi-logistic regression model which takes five dependent factors is adopted to analyze the land use change process and predict the land use change tendency and proven to be feasible and efficient. This study may provide a guide to future research in land use change.
Abstract—Qingxin County is a typical transition area between the Pearl River Delta and north Guangdong. To explore the ideal land use pattern of Qingxin County, this article simulates the county´s land use/cover changes based on the CLUE-S (the Conversion and Land Use and its Effects) model. The relation between land use changes and its driving factors are studied by analyzing static and dynamic factors in the simulation process. Besides, the spatial distribution of land use of Qingxin County in 2020 is predicted with the statistical and scenario analysis methods, and the results under different scenarios are plotted into simulated land cover maps. Compared with the land use of 2007, the environmental, economic and social consequences resulting from the simulated land use/cover changes in 2020 indicate that the simulation under the full-sided development goals, is more in line with Qingxin County´s actual conditions, and also has greatly practical significance in land use.
Abstract—Rapid economic and social development has led to significant regional land use changes in depth and breadth. There is a strong and urgent need to explore and understand the driving forces and mechanisms behind coordinated development of intensive urban land use, especially in rapid urbanization regions, and examine the degree of coordination development among different systems or sectors. In this paper, we took Panyu District of Guangzhou City, China as an example, and applied the principle of coordination degree model to explore the driving mechanisms of coordinated development of intensive urban land use. Results indicate that Panyu is in the base intensive use stage with an urban land use intensity index of 0.3389. The region is seriously imbalanced among economic, social, and ecological systems because their coordination index was only 0.1307. Coordinated development index among economic, social, and ecological systems was 0.2546, placing it to the moderately im