Integration of cartographic knowledge with generalization algorithms

Kazemi, S.; Lim, Samsung; Ge, Liangpeng

doi:10.1109/igarss.2005.1526600

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The automation in cartographic analysis has been the point of discussion in various papers (Ebi, 1995;Gilliot et al, 1993;Kazemi et al, 2005;Lemenkova, 2019aLemenkova, , 2022cLopez-Ornelas and Sedes, 2008) and widely used recently along with rapid progress of the machine learning and development of the scripting languages. The presented integrated combination of various scripting mapping tools in one project, as demonstrated in this paper, has shown the effectiveness of the computer-based methods in cartographic workflow with a case of the geomorphology of Iran with a special focus on Zagros Fold-and-Thrust Belt.…”

Section: Discussionmentioning

confidence: 99%

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

Lemenkova

2022

Artificial Satellites

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Integrated geophysical mapping benefits from visualizing multi-source datasets including gravity and satellite altimetry data using 2D and 3D techniques. Applying scripting cartographic approach by R language and GMT supported by traditional mapping in QGIS is presented in this paper with a case study of Iranian geomorphology and a special focus on Zagros Fold-and-Thrust Belt, a unique landform of the country affected by complex geodynamic structure. Several modules of GMT and ’tmap’ and ’raster’ packages of R language were shown to illustrate the efficiency of the console-based mapping by scripts. Data sources included high-resolution raster grids of GEBCO/SRTM, EGM-2008, SRTM DEM and vector geologic layers of USGS. The cartographic objective was to visualize thematic maps of Iran: topography, geology, satellite-derived gravity anomalies, geoid undulations and geomorphology. Various cartographic techniques were applied to plot the geophysical and topographic field gradients and categorical variations in geological structures and relief along the Zagros Fold-and-Thrust Belt. The structures of Elburz, Zagros, Kopet Dag and Makran slopes, Dasht-e Kavir, Dasht-e Lut and Great Salt Desert were visualized using 3D-and 2D techniques. The geomorphometric properties (slope, aspect, hillshade, elevations) were modelled by R. The study presented a series of 11 new maps made using a combination of scripting techniques and GIS for comparative geological-geophysical analysis. Listings of R and GMT scripting are provided for repeatability.

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Section: Discussionmentioning

confidence: 99%

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

Lemenkova

2022

Artificial Satellites

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“…Existing software (as listed in Table ) for map generalization (Ai, Guo, & Huang, ; Esri, ; Intergraph, ; Kazemi, Lim, & Ge, ; Mackaness et al, ; QGIS Project, ; Steiniger, Michaud, Bedward, & Becker, ; Wikipedia, ) has the following four common characteristics.…”

Section: Introductionmentioning

confidence: 99%

GEN_MAT: A MATLAB‐based map generalization algorithm toolbox

Wang

Tian

et al. 2017

Transactions in GIS

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Assistive tools are important for improving teaching and learning quality in courses that involve practical work. This article presents an overview of GEN_MAT, the first MATLAB-based map generalization algorithm toolbox. The toolbox provides 42 map generalization algorithms for aggregation, selective omission, simplification, smoothing, collapse, agglomeration, merging, dissolving, displacement, and typification. A beta test of the application of GEN_MAT in teaching and learning was conducted. Evaluations showed that GEN_MAT has positive effects on teaching and learning. Comparing tool-based and nontool-based courses indicated that the experimental group performed better than the control group, and the two groups exhibited significant discrepancy (p < 0.05) in confidence, awareness, skills and attitudes or behaviors.

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“…The visual assessment is the simplest assessment to implement, but the most expensive one if we are looking for a comprehensive assessment of the quality of a generalization [20]. Furthermore, visual assessment is subjective and qualitative and comments obtained from experts might be very general or based on fuzzy criteria [38,98,101,120,164,221].…”

Section: Visual Assessmentmentioning

confidence: 99%

Automated evaluation of generalized topographic maps

Zhang¹

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Integration of cartographic knowledge with generalization algorithms

Cited by 3 publications

References 5 publications

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

GEN_MAT: A MATLAB‐based map generalization algorithm toolbox

Automated evaluation of generalized topographic maps

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