Foy et al., 2015 - Google Patents
A Review and Evaluation of Uncertainty Classification and the Error‐Band Geometry ModelFoy et al., 2015
- Document ID
- 50415665005175583
- Author
- Foy A
- Carstensen L
- Prisley S
- Campbell J
- Dymond R
- Publication year
- Publication venue
- Transactions in GIS
External Links
Snippet
Advances in computer technologies have improved the quality of maps, making map comparison and analysis easier, but uncertainty and error still exist in GIS when overlaying geographic data with multiple or unknown confidence levels. The goals of this research are …
- 238000011156 evaluation 0 title description 5
Classifications
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- 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
- 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
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- 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
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lü et al. | Geographic scenario: A possible foundation for further development of virtual geographic environments | |
| Pfaffelmoser et al. | Visualizing the positional and geometrical variability of isosurfaces in uncertain scalar fields | |
| Brodlie et al. | A review of uncertainty in data visualization | |
| Goodchild et al. | Towards a general theory of geographic representation in GIS | |
| Snow et al. | A high‐resolution national‐scale hydrologic forecast system from a global ensemble land surface model | |
| Schwering et al. | SketchMapia: Qualitative representations for the alignment of sketch and metric maps | |
| Li et al. | 1.22-spatial data uncertainty | |
| Murray | Quantitative geography | |
| Liu et al. | Towards a General Field model and its order in GIS | |
| Wu et al. | Geospatial big data: Survey and challenges | |
| Balakrishnan et al. | Uncertainty reduction and characterization for complex environmental fate and transport models: An empirical Bayesian framework incorporating the stochastic response surface method | |
| Belyakov et al. | Model Of Intellectual Visualization Of Geoinformation Service. | |
| Usui et al. | A comparison of neighbourhood relations based on ordinary Delaunay diagrams and area Delaunay diagrams: an application to define the neighbourhood relations of buildings | |
| Wei et al. | A probabilistic approach to address data uncertainty in regionalization | |
| Wang et al. | GeoGraphViz: Geographically constrained 3D force‐directed graph for knowledge graph visualization | |
| Zhang et al. | Topogroups: Context-preserving visual illustration of multi-scale spatial aggregates | |
| Wang et al. | A view-tree method to compute viewsheds from digital elevation models | |
| Yao et al. | Continuous surface representation and approximation: spatial analytical implications | |
| Yu et al. | An SDOG-based intrinsic method for three-dimensional modelling of large-scale spatial objects | |
| Lu et al. | A Comparison of Spatial and Nonspatial Methods in Statistical Modeling of NO 2: Prediction Accuracy, Uncertainty Quantification, and Model Interpretation | |
| Foy et al. | A Review and Evaluation of Uncertainty Classification and the Error‐Band Geometry Model | |
| Goodchild | Statistical perspectives on geographic information science | |
| Goodchild et al. | Data quality in massive data sets | |
| Yuan et al. | 3D geological fine modeling and dynamic updating method of fault slope in open-pit coal mine | |
| Genale | Big Data Analytics for Geospatial Application Using Python |