相关实验视频
Updated: Jun 12, 2025

16:14
Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
13.5K
基于兴趣点数据的旅游资源的空间分布特征和影响因素
Feng Ding1, Shijun Zhang1, Luote Dai2
1Department of Business and Trade, Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China.
PloS one
|September 18, 2024
概括
本研究分析了使用空间统计和地理探测器在绍兴的旅游景点分布. 调查结果显示,环境和社会经济因素影响模式,相互作用是关键驱动因素.
科学领域:
- 旅游地理 旅游地理
- 空间分析 空间分析
- 城市规划 城市规划
背景情况:
- 旅游景点的空间分布对区域旅游发展和市场选择产生重大影响.
- 现有的关于旅游景点空间模式的研究,特别是在历史城市,缺乏强大的统计建模.
- 有效的空间分析对于理解和规划旅游资源至关重要.
研究的目的:
- 研究绍兴市旅游景点的空间分布特征.
- 确定影响旅游景点空间分布的关键因素.
- 为历史城市的旅游规划和发展提供科学基础.
主要方法:
- 利用互联网技术收集旅游景点的空间分布数据.
- 应用空间统计技术,包括平均近邻分析,核密度分析,失衡指数分析和标准偏差圆.
- 采用地理探测器方法来分析空间分布的影响因素.
主要成果:
- 分析了分布特征,如空间聚合,平衡和旅游景点的方向.
- 确定了自然,社会和经济环境作为重要的影响因素.
- 证明两个因素之间的相互作用比单个因素具有更强的解释力.
结论:
- 旅游景点的空间分布模式复杂,受到多种相互作用的环境和社会经济因素的影响.
- 地理探测器分析有效地揭示了空间分布模式背后的驱动因素.
- 调查结果为优化旅游规划和促进绍兴和类似历史城市高质量旅游发展提供了宝贵的见解.
相关概念视频
Selected Data About Geographic Locations
26
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
26
Outliers and Influential Points
4.0K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.0K
Levels of Use of a GIS
46
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
46
Manipulation and Analysis
22
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
22
Scatter Plot
6.8K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
6.8K
Distribution and Dispersion
21.6K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
21.6K

