Mehrotra et al., 2020 - Google Patents
Urban form as policy variable for climate-sensitive area planning under heterogeneity: a geographically weighted regression approachMehrotra et al., 2020
- Document ID
- 1177477164509905133
- Author
- Mehrotra S
- Bardhan R
- Ramamritham K
- Publication year
- Publication venue
- Area Development and Policy
External Links
Snippet
Although built-up areas exacerbate the urban heat island (UHI) effect, the thermal impact of heterogeneous urban areas remains unknown. In this study geographically weighted regression (GWR) is used to examine the locally variable relationship between land surface …
- 230000018109 developmental process 0 abstract description 28
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
- G06Q30/0204—Market segmentation
- G06Q30/0205—Location or geographical consideration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/3087—Spatially dependent indexing and retrieval, e.g. location dependent results to queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30994—Browsing or visualization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Guha et al. | Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy | |
Yu et al. | Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement | |
Shatnawi et al. | Mapping urban land surface temperature using remote sensing techniques and artificial neural network modelling | |
Wang et al. | Bayesian calibration at the urban scale: a case study on a large residential heating demand application in Amsterdam | |
Maclean et al. | Macroclimate data overestimate range shifts of plants in response to climate change | |
Zhao et al. | Use of Local Climate Zones to investigate surface urban heat islands in Texas | |
Bertazzon et al. | Accounting for spatial effects in land use regression for urban air pollution modeling | |
Meng et al. | Assessment of regression kriging for spatial interpolation–comparisons of seven GIS interpolation methods | |
Ge et al. | Sampling design optimization of a wireless sensor network for monitoring ecohydrological processes in the Babao River basin, China | |
Liu et al. | An effective Building Neighborhood Green Index model for measuring urban green space | |
Omar et al. | Markov CA, multi regression, and multiple decision making for modeling historical changes in Kirkuk City, Iraq | |
Mehrotra et al. | Urban form as policy variable for climate-sensitive area planning under heterogeneity: a geographically weighted regression approach | |
Kafy et al. | Predicting changes in land use/land cover and seasonal land surface temperature using multi-temporal landsat images in the northwest region of Bangladesh | |
Naserikia et al. | Background climate modulates the impact of land cover on urban surface temperature | |
Sun et al. | Estimating local-scale domestic electricity energy consumption using demographic, nighttime light imagery and Twitter data | |
Fonte et al. | Assessing the applicability of OpenStreetMap data to assist the validation of land use/land cover maps | |
Hien et al. | Comparison of STEVE and ENVI-met as temperature prediction models for Singapore context | |
Zhang et al. | Assessing OSM building completeness using population data | |
Khalil et al. | Time series analysis of land surface temperature and drivers of urban heat island effect based on remotely sensed data to develop a prediction model | |
Jumari et al. | Analysis of urban heat islands with landsat satellite images and GIS in Kuala Lumpur Metropolitan City | |
Deng et al. | Improving the housing-unit method for small-area population estimation using remote-sensing and GIS information | |
Zhang et al. | Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm | |
Nicholls et al. | Spatial is special: The need to consider spatial effects in leisure research | |
Yildirim et al. | Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye | |
Pan et al. | Understanding spatiotemporal evolution of the surface urban heat island in the Bangkok metropolitan region from 2000 to 2020 using enhanced land surface temperature |