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Spatial Data and Intelligence

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Cover of 'Spatial Data and Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Coarse-Grained Path Planning Under Dynamic Situational Environment
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    Chapter 2 Jointly Modeling Intersections and Road Segments for Travel Time Estimation via Dual Graph Convolutional Networks
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    Chapter 3 We-Map Orientation Method Suitable for General Public with Weak Sense of Orientation
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    Chapter 4 Feature Extraction and Marking Method of Inertial Navigation Trajectory Based on Permutation Entropy Under Road Constraints
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    Chapter 5 Spatio-Temporal Disparity of Traffic Accidents Between the Elderly Involved and Non-elderly Groups in Kumamoto, Japan
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    Chapter 6 Using DBSCAN-RF Algorithm and Multi-source Features to Model Deep Convection in Hubei, China
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    Chapter 7 Diversified Top- k Spatial Pattern Matching
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    Chapter 8 Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks
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    Chapter 9 AIS Data Driven CNN-BiGRU Model for Ship Target Classification
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    Chapter 10 Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution
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    Chapter 11 GWmodelS: A High-Performance Computing Framework for Geographically Weighted Models
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    Chapter 12 Spatio-Temporal Variability of Global Aerosol Optical Depth During 2000–2019
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    Chapter 13 Research on the Prediction Model of Sites in Kashgar Based on Logistic Regression Analysis
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    Chapter 14 Research on the Spatial Characteristics of High-Density Urban Road Network and Functional Agglomeration Taking the Northern Part of Macau as an Example
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    Chapter 15 Hot Public Appeal Extraction and Visual Analysis Combined BERT and Spatio-Temporal Location
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    Chapter 16 Study on the Differences of Urban Thermal Environment Under the Framework of Local Climate Zones
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    Chapter 17 Response of Urban Park Visitor Behavior to Water Quality in Beijing
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    Chapter 18 MAHGE: Point-of-Interest Recommendation Using Meta-path Aggregated Heterogeneous Graph Embeddings
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    Chapter 19 A Novel Method for Groups Identification Based on Spatio-Temporal Trajectories
Attention for Chapter 3: We-Map Orientation Method Suitable for General Public with Weak Sense of Orientation
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Chapter title
We-Map Orientation Method Suitable for General Public with Weak Sense of Orientation
Chapter number 3
Book title
Spatial Data and Intelligence
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-24521-3_3
Book ISBNs
978-3-03-124520-6, 978-3-03-124521-3
Authors

Wang, Xiaolong, Yan, Haowen, Gao, Shan, Wang, Zhuo, He, Yang