探讨房价的时空演变和分异规律,有助于政府部门制定合理的房价调控和土地利用政策,促进城市健康发展.以2018年12月至2019年4月昆明市主城区的房价数据为基础,采用克里金插值分析了研究区房价的时空演变特征,运用探索性空间数据分析揭示了房价的空间关联格局,利用地理探测器定量测度和分析了房价的空间分异性特征及其驱动因素.结果表明:①研究区房价形成了海埂片区、一环范围2个房价高峰中心,并呈现出中心高四周低的放射状格局,整体房价由南向北呈上升趋势,房价在-31％～30％之间波动,大部分地区房价呈上涨趋势.②研究区房价在空间分布上表现出显著的空间自相关性,且多数区域具有显著的聚集性,局部区域存在空间异质性.③空间异质性探测结果显示,地形和公共服务设施对房价空间分布的影响具有差异性,其中地形因素对房价分异性的解释力更强;任意两个因子的交互作用力均大于单个因素的影响力,说明各因素之间的相互作用促进了房价的空间异质性.

旅游景区是旅游系统的重要组成部分,是旅游业发展的基础条件之一.以滇中城市群国家A级旅游景区为研究对象,运用最邻近指数、地理集中度指数、基尼系数、不平衡指数等方法,利用GIS空间分析工具分析滇中城市群A级旅游景区的空间分布特征和影响因素.结果表明:滇中城市群A级旅游景区的空间分布类型为凝聚型;空间分布均衡性较低,总体上呈集中非均衡分布;空间分布密度具有显著的差异性,密度最大的是昆明市区及其周边,表现出以昆明为中心向外密度依次减小的环状分布态势;地势地貌、水体资源条件、交通条件、社会经济发展水平是影响滇中城市群A级旅游景区空间分布的主要因素.最后,提出了促进滇中城市群旅游健康协调发展的建议,旨在丰富滇中城市群A级旅游景区空间分析内容,为调整和优化区域旅游景区空间格局提供参考.

With the rapid development of information technologies such as the Internet, the Internet of Things and cloud computing, network big data is widely used in various fields of society, and making good use of network big data is great significance to the sustainable development of cities. Based on the network big data as the data source, this paper analyzes the spatial distribution and spatial-temporal pattern of house prices in the main city zone of Kunming through the Getis-Ord Gi* index and Kriging method, and quantifies the spatial-temporal changes of house prices through statistical analysis and spatial overlay analysis. The result shows that in hot and cold spot analysis, hot spot (high house price agglomeration area) is surrounded by cold spot (low house price agglomeration area), and Chenggong District is the cold spot dominant area. The house price in the main city zone of Kunming forms two high-value areas in the spatial distribution, and presents a pile-shaped ring structure with a central high price and low price in circumference. During the study period, the overall house price fluctuations were small, showing a pattern of north high and south low. The results of statistical analysis and spatial overlay analysis show that there is a significant difference in house prices among various administrative districts. The high-value clusters and low-value clusters in house prices are randomly distributed in various administrative regions. The price changes in Chenggong District are the most significant, and Panlong District has the smallest change.

The work of targeted poverty reduction in China has problems of inaccurate identification, low efficiency and unscientific management at present. To solve these problems, this paper combines GIS technology and poverty alleviation to develop the targeted poverty reduction geographic information system, using the ArcGIS Engine and the .NET framework as a platform, adopting Geodatabase to manage data and C# language, and combining ArcGIS Engine provided interface and method for program design. Targeted poverty reduction geographic information system includes data management, data browsing, data query, thematic maps, spatial analysis and other functional modules. By digging out the spatial characteristics of poverty-reducing data, we can visualize, manage and analyze poor population data, forecast poverty trends and improve the quality and efficiency of targeted poverty reduction.

The Erhai Lake basin is located in the Yunnan-Guizhou Plateau, with high altitude and fragile ecological environment. Frequent man-made activities have aggravated soil erosion in the Erhai Lake basin. To solve this problem, based on Universal Soil Loss Equation (USLE), the paper uses Visual Studio 2010 software, combines the ArcGIS Engine component library with the. NET platform and uses C# as programming language to complete the development of soil erosion assessment system in Erhai Lake basin. The system includes four modules: document management, factor calculation, erosion analysis and thematic maps. The operation results show that the system not only meets the needs of users for soil erosion assessment in Erhai Lake basin, but also improves work efficiency and simplifies the evaluation procedures for soil erosion. It is of great significance to protect the ecological environment, promote the rational use of resources in Erhai region and the sustainable development of the economy.