Next Article in Journal
Correction: Dawson, T.; et al. A Spatial Analysis of the Relationship between Vegetation and Poverty. Int. J. Geo-Inf. 2018, 7, 83
Previous Article in Journal
A Parallel N-Dimensional Space-Filling Curve Library and Its Application in Massive Point Cloud Management
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2018, 7(8), 328; https://doi.org/10.3390/ijgi7080328

Method for the Analysis and Visualization of Similar Flow Hotspot Patterns between Different Regional Groups

1,2,3,†
,
1,2,3,4,†
,
5
,
6
,
1,2,4
and
1,2,3,*
1
Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023; China
2
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
3
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
4
School of Computer Science and Technology, Nanjing Normal University, Nanjing 210023, China
5
Department of Geography Sciences, University of Maryland College Park, MD 20742, USA
6
School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
These authors equally contributed to the work.
*
Author to whom correspondence should be addressed.
Received: 30 June 2018 / Revised: 1 August 2018 / Accepted: 13 August 2018 / Published: 15 August 2018
Full-Text   |   PDF [8174 KB, uploaded 23 August 2018]   |  

Abstract

Interaction among different regions can be illustrated in the form of a stream. For example, the interaction between the flows of people and information among different regions can reflect city network structures, as well as city functions and interconnections. The popularization of big data has facilitated the acquisition of flow data for various types of individuals. The application of the regional interaction model, which is based on the summary level of individual flow data mining, is currently a hot research topic. Thus far, however, previous research on spatial interaction methods has mainly focused on point-to-point and area-to-area interaction patterns, and investigations on the patterns of interaction hotspots between two regional groups with predefined neighborhood relationships, that being with two regions, remain scarce. In this study, a method for the identification of similar interaction hotspot patterns between two regional groups is proposed, and geo-information Tupu methods are applied to visualize interaction patterns. China’s air traffic flow data are used as an example to illustrate the performance of the proposed method to identify and analyze interaction hotspot patterns between regional groups with adjoining relationships across China. Research results indicate that the proposed method efficiently identifies the patterns of interaction flow hotspots between regional groups. Moreover, it can be applied to analyze any flow space in the excavation of the patterns of regional group interaction hotspots. View Full-Text
Keywords: regional group interaction; similar hotspot flow patterns; spatial interaction; visual analytics; geo-information Tupu; GIS regional group interaction; similar hotspot flow patterns; spatial interaction; visual analytics; geo-information Tupu; GIS
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, H.; Zhou, X.; Gu, X.; Zhou, L.; Ji, G.; Tang, G. Method for the Analysis and Visualization of Similar Flow Hotspot Patterns between Different Regional Groups. ISPRS Int. J. Geo-Inf. 2018, 7, 328.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top