This article relates to the concept of urban expansion reduction in limited areas, called “de-sprinkling districts”, and methods of designation of their range, as well as modelling and management of their network. This concept was developed from research concluded in 2016, referring to 50 years of urban evolution in Italy, that investigated and diagnosed the forms of urban growth focusing on th...

In recent decades, the world has experienced unprecedented urban growth which endangers the green environment in and around urban areas. In this work, an artificial neural network (ANN) based model is developed to predict future impacts of urban and agricultural expansion on the uplands of Deepor Beel, a Ramsar wetland in the city area of Guwahati, Assam, India, by 2025 and 2035 respectively. S...

China has experienced unprecedented urbanization since the 1980s, resulting in substantial climatic effects from local cities to broad regions. Using the Weather Research and Forecasting model dynamically coupled to an urban canopy model, we quantified the summertime climate effects of urban expansion in China's most rapidly urbanizing regions: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (...

the aim of this paper is to investigate the role of producer cooperatives (pcs) on rural development in fars, khorasan, semnan, golestan and hamadan provinces of iran in 2007. more specifically, this paper focuses on the economic aspects and social changes occurred in rural area concerning the cooperatives development. in order to measure quantitatively the effectiveness of economic and social ...

The aim of this article is to investigate the claim that tourism development can be the engine for poverty reduction in Kenya using a dynamic, microsimulation computable general equilibrium model. The article improves on the common practice in the literature by using the more comprehensive Foster-Greer-Thorbecke (FGT) index to measure poverty instead of headcount ratios only. Simulations result...

The aim of this paper is to investigate the claim that tourism development can be the engine for poverty reduction in Kenya using a dynamic, micro-simulation computable general equilibrium model. The paper improves on the common practice in the literature by using the more comprehensive Foster-Greer-Thorbecke (FGT) index to measure poverty instead of headcount ratios only. Simulations results f...

One of the focal points in Geographic Information Science (GIS) is to uncover spatial distribution patterns geographical phenomena. In response insufficient feature learning concerning neighborhoods traditional machine learning-based Cellular Automata (CA) models for land use change, this study couples Random Forest (RF) model and Spatially Non-Stationary Convolutional Neural Network (SNSCNN) C...