Measuring Spatial Patterns of Tea Farms and Their Colocation Relationships with Agritourism Scenic Spots from Geo-Spatial Datasets in Huzhou, China
Author:
Affiliation:
1. Zhejiang International Studies University,Department of International Culture and Tourism,Hangzhou,China
2. “Leading Example” Institute Zhejiang International Studies University,Hangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233256/10233125/10233553.pdf?arnumber=10233553
Reference16 articles.
1. The K-Function Method on a Network and Its Computational Implementation
2. Discovering colocation patterns from spatial data sets: a general approach
3. Shooting on the Street: Measuring the Spatial Influence of Physical Features on Gun Violence in a Bounded Street Network
4. A statistical method for analyzing agglomeration zones of co‐location between diverse facilities on a street network
5. Discovering spatial patterns of fast-food restaurants in Jakarta, Indonesia
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