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2 results on '"Moran scatterplot"'

1. Understanding Spatial Autocorrelation: An Everyday Metaphor and Additional New Interpretations

Author

Daniel A. Griffith

Subjects
Moran scatterplot, negative spatial autocorrelation, positive spatial autocorrelation, spatial autocorrelation mixture, spatial autoregression, Geography (General), G1-922
Abstract

An enumeration of spatial autocorrelation’s (SA’s) polyvalent forms occurred nearly three decades ago. Attempts to conceive and disseminate a clearer explanation of it employ metaphors seeking to better relate SA to a student’s or spatial scientist’s personal knowledge databank. However, not one of these uses the jigsaw puzzle metaphor appearing in this paper, which exploits an analogy between concrete visual content organization and abstract map patterns of attributes. It not only makes SA easier to understand, which furnishes a useful pedagogic tool for teaching novices and others about it, but also discloses that many georeferenced data should contain a positive–negative SA mixture. Empirical examples corroborate this mixture’s existence, as well as the tendency for marked positive SA to characterize remotely sensed and moderate (net) positive SA to characterize socio-economic/demographic, georeferenced data.

Published
2023
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2. A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance

Author

Jacques Bou Abdo, Khalil Challita, Rayane El Sibai, and Jacques Demerjian

Subjects
Computer science, iterative algorithms, Geography, Planning and Development, TJ807-830, 010501 environmental sciences, Management, Monitoring, Policy and Law, TD194-195, 01 natural sciences, Renewable energy sources, moran scatterplot, Resource (project management), 0502 economics and business, GE1-350, 0105 earth and related environmental sciences, 050210 logistics & transportation, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, business.industry, 05 social sciences, Bike Sharing Systems, Environmental sciences, Incentive, Work (electrical), outliers detection, spatial data mining, Bike sharing, Anomaly detection, State (computer science), business, Computer network
Abstract

The benefits of having a Bike Sharing System (BSS) in a city are numerous. Among other advantages, it promotes a cleaner environment with less traffic and pollution. One major problem the users of such services encounter is that of full or empty stations, causing user dissatisfaction. The objective of this work is to propose a new user-based incentive method to enhance BSS performance. The proposed method relies on a spatial outlier detection algorithm. It consists of adapting the departure and arrival stations of the users to the BSS state by stimulating the users to change their journeys in view of minimizing the number of full and empty stations. Experiments are carried out to compare our proposed method to some existing methods for enhancing the resource availability of BSSs, and they are performed on a real dataset issued from a well-known BSS called Velib. The results show that the proposed strategy improves the availability of BSS resources, even when the collaboration of users is partial.

Published
2021

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