Nothing Special   »   [go: up one dir, main page]

Yu et al., 2019 - Google Patents

Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement

Yu et al., 2019

Document ID
13328288157265575988
Author
Yu B
Lian T
Huang Y
Yao S
Ye X
Chen Z
Yang C
Wu J
Publication year
Publication venue
International Journal of Geographical Information Science

External Links

Snippet

The population distribution grid at fine scales better reflects the distribution of residents and plays an important role in investigating urban systems. The recent years have witnessed a growing trend of applying the nighttime light data to the estimation of population at micro …
Continue reading at www.tandfonline.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30241Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/3087Spatially dependent indexing and retrieval, e.g. location dependent results to queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30943Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30994Browsing or visualization
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00Maps; Plans; Charts; Diagrams, e.g. route diagram
    • G09B29/003Maps
    • G09B29/006Representation of non-cartographic information on maps, e.g. population distribution, wind direction, radiation levels, air and sea routes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration

Similar Documents

Publication Publication Date Title
Yu et al. Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement
Ye et al. Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model
Chen et al. Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data
Hong et al. Hierarchical community detection and functional area identification with OSM roads and complex graph theory
Huang et al. Big spatial data for urban and environmental sustainability
Niu et al. Integrating multi-source big data to infer building functions
Liu et al. Characterizing mixed-use buildings based on multi-source big data
Wu et al. A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data
Zhuo et al. Modelling the population density of China at the pixel level based on DMSP/OLS non‐radiance‐calibrated night‐time light images
Sharma et al. Assessment of land consumption rate with urban dynamics change using geospatial techniques
Martin et al. Developing a flexible framework for spatiotemporal population modeling
Wang et al. An estimation of housing vacancy rate using NPP-VIIRS night-time light data and OpenStreetMap data
Kubíček et al. Population distribution modelling at fine spatio-temporal scale based on mobile phone data
Cheng et al. Mapping monthly population distribution and variation at 1-km resolution across China
Hu et al. Extraction and monitoring approach of dynamic urban commercial area using check-in data from Weibo
Fang et al. Data-driven framework for delineating urban population dynamic patterns: Case study on Xiamen Island, China
Zhao et al. Mapping hourly population dynamics using remotely sensed and geospatial data: a case study in Beijing, China
Yang et al. A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data
Deng et al. A density-based approach for detecting network-constrained clusters in spatial point events
Deng et al. Improving the housing-unit method for small-area population estimation using remote-sensing and GIS information
Han et al. Modelling spatial distribution of fine-scale populations based on residential properties
Zhang et al. Urban human activity density spatiotemporal variations and the relationship with geographical factors: An exploratory Baidu heatmaps‐based analysis of Wuhan, China
Yuan et al. Recognition of functional areas based on call detail records and point of interest data
Gao et al. Improving the accuracy of extant gridded population maps using multisource map fusion
Nicholls et al. Spatial is special: The need to consider spatial effects in leisure research