A chorem-based approach for visually analyzing spatial data

Chiara, Davide De; Fatto, Vincenzo Del; Laurini, Robert; Sebillo, Monica; Vitiello, Giuliana

doi:10.1016/j.jvlc.2011.02.001

Cited by 25 publications

(16 citation statements)

References 29 publications

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“…Another starting point is in the information visualization topic, several authors [8,9] adopted the Visual InformationSeeking mantra stated by Ben Shneiderman [10], namely "Overview, Zoom and Filter, Details on Demand" as a starting point to create a good visualization; it is a well-known visualization paradigm which encompasses several visual design guidelines and provides a general framework for designing information visualization applications:…”

Section: Cmentioning

confidence: 99%

“…So we had to consider a degree of confidence for data in real time when used for filtering and comparison with the historical data. We use R-project to create a web-cartography and geographic information using Leaflet 8 and Rgdal 9 package. The first reason or choosing R is that its open source software and freely available.…”

Section: ) Geo-data Preprocessing and Storagementioning

confidence: 99%

“…They are streets, satellite, hybrid, topography, grey, oceans, national-geographic, and OpenStreetMap (OSM). 8 JavaScript library for interactive maps 9 Geospatial Data Abstraction Library Figure 6. Extract R-code basmap example…”

Section: A)mentioning

confidence: 99%

See 2 more Smart Citations

Automatic Generation of an Interactive, Real time, Web-based Maps from Sensor-based Geographic Databases

Laurini¹,

Belbachir²,

Bouattou³

2016

International Conferences on Distributed Multimedia Systems

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-In recent years, we have seen a growing number of location-based sensors used to measure increasingly diverse phenomena. Therefore, we consider the increasing need to efficiently manage the huge amount of data collected from located wireless sensor networks (WSN). In some phenomena, it is fundamental to generate maps in real time. Data can be grouped into web-cartography for diverse purposes; so finally, we develop a web-based mapping on demand. In this paper, in addition to cartographic functionalities mentioned above, we are facing another challenge. Indeed, we encounter the problem of avoiding on-the-fly overlays of multiple visual layers in order to get a result that is easy to interpret due to visual interference between graphic elements. The present paper describes an approach to the cartographic visualization of geo-data regularly acquired by WSN and exhibits a prototype portal based on an open source platform for integrated visualization as visual realtime summaries. An application in meteorology is proposed.

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Section: Cmentioning

confidence: 99%

Section: ) Geo-data Preprocessing and Storagementioning

confidence: 99%

See 1 more Smart Citation

Automatic Generation of an Interactive, Real time, Web-based Maps from Sensor-based Geographic Databases

Laurini¹,

Belbachir²,

Bouattou³

2016

International Conferences on Distributed Multimedia Systems

Self Cite

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“…For thematic maps exact details in the base map may even distract from or obscure the thematic overlay. Consequently, there has been a continuous interest in schematic maps (e.g., [1][2][3][4]). A schematic map is typically highly abstract and stylized, maintaining only those features that support the message of the map.…”

Section: Introductionmentioning

confidence: 99%

Map Schematization with Circular Arcs

Dijk

Goethem

Haunert

et al. 2014

Geographic Information Science

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Abstract. We present an algorithm to compute schematic maps with circular arcs. Our algorithm iteratively replaces two consecutive arcs with a single arc to reduce the complexity of the output map and thus to increase its level of abstraction. Our main contribution is a method for replacing arcs that meet at high-degree vertices. This allows us to greatly reduce the output complexity, even for dense networks. We experimentally evaluate the effectiveness of our algorithm in three scenarios: territorial outlines, road networks, and metro maps. For the latter, we combine our approach with an algorithm to more evenly distribute stations. Our experiments show that our algorithm produces high-quality results for territorial outlines and metro maps. However, the lack of caricature (exaggeration of typical features) makes it less useful for road networks.

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“…It is an important concern for the geographic information science community to process huge volumes of geospatial data to extract specific features and then display their geographic patterns using visualisation tools (Kraak, 2003;Liang et al, 2007;Kulawiak et al, 2010;de Chiara et al, 2011, Mitasova et al, 2011Xu et al, 2011). The conventional images of raster GIS data are made up of mosaicing of a group of pixels, and at each pixel location only one geospatial attribute can be displayed at a time (Tomlin, 1990;Zhang and Pazner, 2004;Ropinski et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

IconMap-Based Visualisation Technique and its Application in Soil Fertility Analysis

Zhang

Wang

et al. 2012

The Cartographic Journal

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With the development of geographic information science and the progress in the research of scientific visualisation, the visualisation of multivariate geospatial data has attracted much attention. This paper discusses an IconMap-based visualisation technique that enables multiple geospatial variables be represented in a single raster layer. This is achieved by extending the conventional pixel-based image structure to the three-tiered iconic design. Thereby the spatial pattern generated by the interaction between multivariate geographic variables can be disclosed, and the goal of geospatial data mining is achieved. A visualisation case study on soil organic matter and nutrients for the Shuangliu County of Chengdu City, China, was performed using the proposed approach. The result shows that the static IconMap can better display the distribution tendency of the high-end and low-end soil organic matter and nutrients, and that the dynamic IconMap can both reflect the interaction between the organic matter and the nutrients variables, and display the soil fertility levels in a comprehensive way. Thus, the IconMap-based visualisation approach is a non-fused, exploratory analytical approach for multivariate data and valuable for visually analyse the soil fertility condition.

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A chorem-based approach for visually analyzing spatial data

Cited by 25 publications

References 29 publications

Automatic Generation of an Interactive, Real time, Web-based Maps from Sensor-based Geographic Databases

Automatic Generation of an Interactive, Real time, Web-based Maps from Sensor-based Geographic Databases

Map Schematization with Circular Arcs

IconMap-Based Visualisation Technique and its Application in Soil Fertility Analysis

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