Based on satellite remote sensing TM/ETM+ images of Xuzhou city,land use forms of the city in 1987,1994 and 2000 were extracted by using a neural network classification method. The expansion contribution rate and annu...Based on satellite remote sensing TM/ETM+ images of Xuzhou city,land use forms of the city in 1987,1994 and 2000 were extracted by using a neural network classification method. The expansion contribution rate and annual expansion intensity index of each administrative district have been calculated and the contribution rate matrices and spatial distribution maps of land use changes were obtained. Based on the above analysis,the characteristics of urban expansion from 1987 to 2000 have been explored. From 1987 to 1994,the expansion contribution rate of Quanshan dis-trict reached 46.80%,the highest in all administrative districts of Xuzhou city; Tongshan town was in a high-speed ex-pansion period; both Quanshan and Yunlong districts were experiencing fast-speed expansion periods while the entire city was expanding at a medium-speed with an annual expansion intensity index of 0.98; the city spread eastwards and southwards. From 1994 to 2000,the expansion contribution rate of Quanshan district reached 43.67%,the highest in Xuzhou; the entire city was in a medium-speed expansion period with an annual expansion intensity index of 1.04; the city has rapidly been extended towards the southeast. According to the contribution rate matrices of land use changes,urban expansion mainly usurps cropland and woodland. A quantitative analysis found that population growth,indus-trialization and economic development are the primary driving forces behind urban expansion.展开更多
This paper introduced the theory and approaches of building driving forcemodels revealing the changes in land utilization level by integrating RS, GPS, and GIS technologiesbased on the example of Yuanmou County of Yun...This paper introduced the theory and approaches of building driving forcemodels revealing the changes in land utilization level by integrating RS, GPS, and GIS technologiesbased on the example of Yuanmou County of Yunnan Province. We first created the land utilizationtype database, natural driving forces for land utilization database, and human driving forces forland utilization database. Then we obtained the dependent and the independent variables of changesin land utilization level by exploring various data. Lastly we screened major factors affectingchanges in land utilization level by using the powerful spatial correlation analysis and maincomponent analysis module of GIS and obtained a multivariable linear regression model of thechangesin land utilization level by using GIS spatial regression analysis module.展开更多
China is experiencing a process of rapid industrialization and urbanization at the cost of agricultural land and environment, particularly in the costal areas.This study takes Jinan as a case presenting a time-series ...China is experiencing a process of rapid industrialization and urbanization at the cost of agricultural land and environment, particularly in the costal areas.This study takes Jinan as a case presenting a time-series analysis of urban land expansion from 313 to 2003.The results show that the urban expansion of Jinan city mainly took place in the last 100 years,especially after the economic reform in 1978.Social development and economic growth, urban population growth and migration policies were factors driving the urban land expansion.Urban sprawl resulted in a disappearance of wetlands and a great loss of agricultural land,and over-pumping of ground water that led to disappearance of the city's feature, namely"the city of springs".展开更多
Avala Hotel in Budva, Montenegro, has undergone three reconstructions. Each of them led to significant spatial changes. The first hotel established the foundation of urbanization process in Budva, the building was too...Avala Hotel in Budva, Montenegro, has undergone three reconstructions. Each of them led to significant spatial changes. The first hotel established the foundation of urbanization process in Budva, the building was too high compared to the old town walls in the surrounding and thus not well integrated. The second reconstruction was the only successful achievement. At this time, in the first detailed urban plan including hotel and its surrounding area, the conclusion was that it represents ＂high-quality, seaside-favorable ambience＂ that should not be harmed by further building expansion. The last, illegal reconstruction in 2006 resulted in over enlarged new building disrespectful of the surrounding and the previous design. Similarly, the 2008 new detailed urban plan was the creation of ＂investors＇ urban planning＂. Entirely driven by profit, it arranges building reconstructions with multiple enlargements. This study tends to point out contextual impacts of the three hotels on the surrounding area, with special focus on the last reconstruction and ＂investors＇ urban planning＂ phenomena. The applied research method is comparative, chronological analysis of the three hotels. The aim of this research paper is to inspire initiatives that will help overcoming declining and harmful synergy of architecture and new socio-economic phenomena. It is the only way leading to the significant architectural goal： creating refined, harmonized and high quality ambience.展开更多
Ganzhou Orange Industrial Clusters （GOIC for short） is mainly characterized as follows. （1）The Government＇s driving force is the key factor for the formation and development of GOIC; （2）the interaction between ...Ganzhou Orange Industrial Clusters （GOIC for short） is mainly characterized as follows. （1）The Government＇s driving force is the key factor for the formation and development of GOIC; （2）the interaction between market and industry; （3）the specific geography and natural resources act as a carrier; （4）with a strong sense of innovation; （5）it is still at the early stage of development, with a certain high cost.展开更多
This year marks the40th anniversary of China’s opening up to the world.One of the key decisions during the early period after opening-up was the restoration of the national college entrance exam.As of today,China has...This year marks the40th anniversary of China’s opening up to the world.One of the key decisions during the early period after opening-up was the restoration of the national college entrance exam.As of today,China has produced nearly100million college students and6million overseas students,which provided a solid human resource background for China’s opening-up and economic growth.展开更多
为了探究中国土地利用变化驱动机制和未来土地利用状况,该文利用中国科学院资源环境科学数据库中的2000年和2005年土地利用数据,结合区域土地利用变化与影响模型CLUE-S(the conversion of land use and its effects at small regional e...为了探究中国土地利用变化驱动机制和未来土地利用状况,该文利用中国科学院资源环境科学数据库中的2000年和2005年土地利用数据,结合区域土地利用变化与影响模型CLUE-S(the conversion of land use and its effects at small regional extent)和面向地理过程动态环境模型Dinamica EGO(environment for geoprocessing objects)模拟2000-2020年中国土地利用状况,并借助于Logistic回归结果和贝叶斯估计结果,探讨了中国2000-2005年土地利用适宜性和土地利用变化的驱动力空间特征。以2005年土地利用数据对模拟结果进行验证表明,CLUE-S模型和Dinamica EGO模型在LUCC预测上与实际结果一致性较好,并且CLUE-S模型在预测总体精度上优于Dinamica EGO模型。但在土地利用变化类型的数量预测上,Dinamica EGO模型的Markov过程可以准确预测,并且Dinamica EGO模拟的土地利用变化在空间分布上与经验结果较一致。从2020年中国土地利用预测结果来看,耕地、林地、水域和建设用地将会增加,草地会出现大面积的缩减,未利用地在CLUE-S模型预测中出现增加,而在Dinamica EGO模型中减少。该文可为国土资源规划和耕地资源保护政策的制定提供科学依据。展开更多
基金Projects 40401038 supported by the National Natural Science Foundation of China05KJB420133 by the Natural Science Foundation for Colleges and Universities in Jiangsu Province
文摘Based on satellite remote sensing TM/ETM+ images of Xuzhou city,land use forms of the city in 1987,1994 and 2000 were extracted by using a neural network classification method. The expansion contribution rate and annual expansion intensity index of each administrative district have been calculated and the contribution rate matrices and spatial distribution maps of land use changes were obtained. Based on the above analysis,the characteristics of urban expansion from 1987 to 2000 have been explored. From 1987 to 1994,the expansion contribution rate of Quanshan dis-trict reached 46.80%,the highest in all administrative districts of Xuzhou city; Tongshan town was in a high-speed ex-pansion period; both Quanshan and Yunlong districts were experiencing fast-speed expansion periods while the entire city was expanding at a medium-speed with an annual expansion intensity index of 0.98; the city spread eastwards and southwards. From 1994 to 2000,the expansion contribution rate of Quanshan district reached 43.67%,the highest in Xuzhou; the entire city was in a medium-speed expansion period with an annual expansion intensity index of 1.04; the city has rapidly been extended towards the southeast. According to the contribution rate matrices of land use changes,urban expansion mainly usurps cropland and woodland. A quantitative analysis found that population growth,indus-trialization and economic development are the primary driving forces behind urban expansion.
文摘This paper introduced the theory and approaches of building driving forcemodels revealing the changes in land utilization level by integrating RS, GPS, and GIS technologiesbased on the example of Yuanmou County of Yunnan Province. We first created the land utilizationtype database, natural driving forces for land utilization database, and human driving forces forland utilization database. Then we obtained the dependent and the independent variables of changesin land utilization level by exploring various data. Lastly we screened major factors affectingchanges in land utilization level by using the powerful spatial correlation analysis and maincomponent analysis module of GIS and obtained a multivariable linear regression model of thechangesin land utilization level by using GIS spatial regression analysis module.
文摘China is experiencing a process of rapid industrialization and urbanization at the cost of agricultural land and environment, particularly in the costal areas.This study takes Jinan as a case presenting a time-series analysis of urban land expansion from 313 to 2003.The results show that the urban expansion of Jinan city mainly took place in the last 100 years,especially after the economic reform in 1978.Social development and economic growth, urban population growth and migration policies were factors driving the urban land expansion.Urban sprawl resulted in a disappearance of wetlands and a great loss of agricultural land,and over-pumping of ground water that led to disappearance of the city's feature, namely"the city of springs".
文摘Avala Hotel in Budva, Montenegro, has undergone three reconstructions. Each of them led to significant spatial changes. The first hotel established the foundation of urbanization process in Budva, the building was too high compared to the old town walls in the surrounding and thus not well integrated. The second reconstruction was the only successful achievement. At this time, in the first detailed urban plan including hotel and its surrounding area, the conclusion was that it represents ＂high-quality, seaside-favorable ambience＂ that should not be harmed by further building expansion. The last, illegal reconstruction in 2006 resulted in over enlarged new building disrespectful of the surrounding and the previous design. Similarly, the 2008 new detailed urban plan was the creation of ＂investors＇ urban planning＂. Entirely driven by profit, it arranges building reconstructions with multiple enlargements. This study tends to point out contextual impacts of the three hotels on the surrounding area, with special focus on the last reconstruction and ＂investors＇ urban planning＂ phenomena. The applied research method is comparative, chronological analysis of the three hotels. The aim of this research paper is to inspire initiatives that will help overcoming declining and harmful synergy of architecture and new socio-economic phenomena. It is the only way leading to the significant architectural goal： creating refined, harmonized and high quality ambience.
文摘Ganzhou Orange Industrial Clusters （GOIC for short） is mainly characterized as follows. （1）The Government＇s driving force is the key factor for the formation and development of GOIC; （2）the interaction between market and industry; （3）the specific geography and natural resources act as a carrier; （4）with a strong sense of innovation; （5）it is still at the early stage of development, with a certain high cost.
文摘This year marks the40th anniversary of China’s opening up to the world.One of the key decisions during the early period after opening-up was the restoration of the national college entrance exam.As of today,China has produced nearly100million college students and6million overseas students,which provided a solid human resource background for China’s opening-up and economic growth.
文摘为了探究中国土地利用变化驱动机制和未来土地利用状况,该文利用中国科学院资源环境科学数据库中的2000年和2005年土地利用数据,结合区域土地利用变化与影响模型CLUE-S(the conversion of land use and its effects at small regional extent)和面向地理过程动态环境模型Dinamica EGO(environment for geoprocessing objects)模拟2000-2020年中国土地利用状况,并借助于Logistic回归结果和贝叶斯估计结果,探讨了中国2000-2005年土地利用适宜性和土地利用变化的驱动力空间特征。以2005年土地利用数据对模拟结果进行验证表明,CLUE-S模型和Dinamica EGO模型在LUCC预测上与实际结果一致性较好,并且CLUE-S模型在预测总体精度上优于Dinamica EGO模型。但在土地利用变化类型的数量预测上,Dinamica EGO模型的Markov过程可以准确预测,并且Dinamica EGO模拟的土地利用变化在空间分布上与经验结果较一致。从2020年中国土地利用预测结果来看,耕地、林地、水域和建设用地将会增加,草地会出现大面积的缩减,未利用地在CLUE-S模型预测中出现增加,而在Dinamica EGO模型中减少。该文可为国土资源规划和耕地资源保护政策的制定提供科学依据。
