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Intra-urban human mobility patterns: An urban morphology perspective
This paper provides a new perspective on human motion with an investigation of whether and how patterns of human mobility inside cities are affected by two urban morphological characteristics:Expand
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Discovering Spatial Interaction Communities from Mobile Phone Data
TLDR
In the age of Big Data, the widespread use of location-awareness technologies has made it possible to collect spatio-temporal interaction data for analyzing flow patterns in both physical space and cyberspace. Expand
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Towards Estimating Urban Population Distributions from Mobile Call Data
Today, large-volume mobile phone call datasets are widely applied to investigate the spatio-temporal characteristics of human urban activity. This paper discusses several fundamental issues inExpand
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Analyzing and geo-visualizing individual human mobility patterns using mobile call records
TLDR
We introduce several preprocessing and spatiotemporal analysis methods for the new ICT (Information Communications Technology) data in individual human mobility patterns mining and urban analysis under the time geography framework. Expand
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Inferring properties and revealing geographical impacts of intercity mobile communication network of China using a subnet data set
TLDR
This article provides a novel and practical approach for investigating the characteristics of intercity telecommunication network whose overall and complete information is unavailable. Expand
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Multi-Agent Cooperative Reinforcement Learning in 3D Virtual World
TLDR
A virtual world is an online community in the form of a computer-based simulated environment, through which users can interact with one another and use and create objects The non-player characters (NPC) in virtual world are following a fixed set of pre-programmed behaviors and lack the ability to adapt with the changing environment. Expand
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Mining geographic episode association patterns of abnormal events in global earth science data
TLDR
We propose a RSNN (range-based searching nearest neighbors) spatial clustering algorithm to reduce the data size and auto-correlation and a GEAM (geographic episode association pattern mining) algorithm to mine the association patterns. Expand
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Using contour lines to generate digital elevation models for steep slope areas: a case study of the Loess Plateau in North China
In soil erosion models digital elevation models (DEMs) play an important role. Most interpolations from contour lines fail to address multi-value cells (MVCs) problems and therefore find it difficultExpand
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Spatial data cube: provides better support for spatial data mining
TLDR
We propose a new data model called spatial data cube for data warehouse that supports both spatial and nonspatial data. Expand
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