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Selection: with tag visualization [16 articles] 

 

2017 hurricanes and aerosols simulation

  
In Scientific Visualization Studio (November 2017), 12772

Abstract

[Excerpt] Tracking aerosols over land and water from August 1 to November 1, 2017. Hurricanes and tropical storms are obvious from the large amounts of sea salt particles caught up in their swirling winds. The dust blowing off the Sahara, however, gets caught by water droplets and is rained out of the storm system. Smoke from the massive fires in the Pacific Northwest region of North America are blown across the Atlantic to the UK and Europe. This visualization is a ...

 

Good colour maps: how to design them

  
(12 Sep 2015)

Abstract

Many colour maps provided by vendors have highly uneven perceptual contrast over their range. It is not uncommon for colour maps to have perceptual flat spots that can hide a feature as large as one tenth of the total data range. Colour maps may also have perceptual discontinuities that induce the appearance of false features. Previous work in the design of perceptually uniform colour maps has mostly failed to recognise that CIELAB space is only designed to be perceptually uniform at very low spatial frequencies. The most ...

 

Why we use bad color maps and what you can do about it

  
Electronic Imaging (February 2016), pp. 1-6, https://doi.org/10.2352/issn.2470-1173.2016.16.hvei-133

Abstract

We know the rainbow color map is terrible, and it is emphatically reviled by the visualization community, yet its use continues to persist. Why do we continue to use a this perceptual encoding with so many known flaws? Instead of focusing on why we should not use rainbow colors, this position statement explores the rational for why we do pick these colors despite their flaws. Often the decision is influenced by a lack of knowledge, but even experts that know better ...

 

Diverging color maps for scientific visualization

  
In Advances in Visual Computing, Vol. 5876 (2009), pp. 92-103, https://doi.org/10.1007/978-3-642-10520-3_9

Abstract

One of the most fundamental features of scientific visualization is the process of mapping scalar values to colors. This process allows us to view scalar fields by coloring surfaces and volumes. Unfortunately, the majority of scientific visualization tools still use a color map that is famous for its ineffectiveness: the rainbow color map. This color map, which naïvely sweeps through the most saturated colors, is well known for its ability to obscure data, introduce artifacts, and confuse users. Although many alternate ...

 

Colour schemes

  
SRON Technical Note, No. 2.2. (December 2012), SRON/EPS/TN/09-002

Abstract

[Excerpt: Introduction] Graphics with scientific data become clearer when the colours are chosen carefully. It is convenient to have a good default scheme ready for each type of data, with colours that are distinct for all readers, including colour-blind people. This document shows such schemes as a function of the number of colours needed, with some examples. It also gives a conversion of colour coordinates to simulate approximately how any colour is seen if you are colour-blind. [\n] [...] ...

 

Rainbow color map critiques: an overview and annotated bibliography

  
MathWorks Technical Articles and Newsletters, Vol. 25 (2014), 92238v00

Abstract

A rainbow color map is based on the order of colors in the spectrum of visible light—the same colors that appear in a rainbow. Rainbow color maps commonly appear in data visualizations in many different scientific and engineering communities, and technical computing software often provides a rainbow color map as the default choice. Although rainbow color maps remain popular, they have a number of weaknesses when used for scientific visualization, and have been widely criticized. [\n] This paper summarizes the criticisms of ...

 

ePiX tutorial and reference manual

  
(2008)

Abstract

[Excerpt: Introduction] ePiX, a collection of batch utilities, creates mathematically accurate figures, plots, and animations containing LATEX typography. The input syntax is easy to learn, and the user interface resembles that of LATEX itself: You prepare a scene description in a text editor, then “compile” the input file into a picture. LATEX- and web-compatible output types include a LATEX picture-like environment written with PSTricks, tikz, or eepic macros; vector images (eps, ps, and pdf); and bitmapped images and movies (png, mng, and gif). [\n] ePiX’s strengths include: [::] Quality of ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 38

  
(February 2014)
Keywords: inrmm-list-of-tags   vinca-spp   vineyards   violin   viral-disease   virgin-forest   virola-koschnyi   viscum-album   visual-assessment   visual-interpretation   visual-notation   visualization   vitality   vitex-keniensis   vitis-spp   vochysia-divergens   vochysia-ferruginea   vochysia-guatemalensis   volatiles   volcanic-eruptions   volunteered-geographic-information   vulnerability   walnut   walnut-leaf   warming   washingtonia-filifera   washingtonia-robusta   water   water-balance   water-erosion   water-impoundment   water-potential   water-quality   water-reservoir-management   water-reservoir-network   water-resources   water-resources-management   water-scarcity   water-security   water-storage   water-stress   water-use-efficiency   waterlogging   waves-energy   web-and-information-technologies   web-coverage-services   web-map-services   web-processing-services   web-services   weibull-distribution   weighting   wepp   west-antartica   western-alps   western-asia   western-europe   western-mediterranean   westringia-fruticosa   wetland-investigations   wetlands   wheat   wicked-problem   wide-scale   wide-scale-transdisciplinary-modelling-for-environment   widespread-plant-species   wiesa   wiki-communication   wild-service-tree   wilderness   wildfires   wilt   wind   wind-damage   wind-energy   wind-model   windstorm   windthrow   wine-barrel   winter-robustness   wisteria-sinensis   wollemia-nobilis   wood-instrument   wood-market   wood-pellet   wood-production   wood-properties   wood-shreds   wood-structure   wood-technology   wooden-artifact   wooden-foundation   woodland   woods   woodworm   woody-species   word-processor-errors   work-life-balance   workflow   workflow-dependencies   worldclim  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Communicating thematic data quality with web map services

  
ISPRS International Journal of Geo-Information, Vol. 4, No. 4. (06 October 2015), pp. 1965-1981, https://doi.org/10.3390/ijgi4041965

Abstract

Geospatial information of many kinds, from topographic maps to scientific data, is increasingly being made available through web mapping services. These allow georeferenced map images to be served from data stores and displayed in websites and geographic information systems, where they can be integrated with other geographic information. The Open Geospatial Consortium’s Web Map Service (WMS) standard has been widely adopted in diverse communities for sharing data in this way. However, current services typically provide little or no information about the ...

 

ColorBrewer.org: an online tool for selecting colour schemes for maps

  
The Cartographic Journal, Vol. 40, No. 1. (June 2003), pp. 27-37, https://doi.org/10.1179/000870403235002042

Abstract

Choosing effective colour schemes for thematic maps is surprisingly difficult. ColorBrewer is an online tool designed to take some of the guesswork out of this process by helping users select appropriate colour schemes for their specific mapping needs by considering: the number of data classes; the nature of their data (matched with sequential, diverging and qualitative schemes); and the end-use environment for the map (e.g., CRT, LCD, printed, projected, photocopied). ColorBrewer contains 'learn more' tutorials to help guide users, prompts them ...

 

Information visualisation for science and policy: engaging users and avoiding bias

  
Trends in Ecology & Evolution, Vol. 29, No. 3. (7 March 2014), pp. 148-157, https://doi.org/10.1016/j.tree.2014.01.003

Abstract

[Highlights] [::] Science and policy rely on reliable and unbiased communications. [::] Visualisations and graphics are a powerful means to communicate. [::] Ecology lacks appropriate expertise, skills, and knowledge in visualisation. [::] Great opportunities are available if we rethink the role of visualisation in our work. [::] The way we think about visualisation needs to be reframed within our disciplines. [Abstract] Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create ...

 

Colour for presentation graphics

  
In Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003) (2003)

Abstract

Choosing a "good" set of colours for a graphical display is an important problem, but one which many data analysis practitioners are ill-equipped to solve. Most current graphics systems provide very little assistance in making good colour choices. Indeed, most systems require that a user specify their colours in ways which are closely related to the hardware representation of the colours rather than to the way we most naturally think about colour. This tends to ...

 

Escaping RGBland: selecting colors for statistical graphics

  
Computational Statistics & Data Analysis, Vol. 53, No. 9. (01 July 2009), pp. 3259-3270, https://doi.org/10.1016/j.csda.2008.11.033

Abstract

Statistical graphics are often augmented by the use of color coding information contained in some variable. When this involves the shading of areas (and not only points or lines)—e.g., as in bar plots, pie charts, mosaic displays or heatmaps—it is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Based on the perceptually-based Hue-Chroma-Luminance (HCL) color space suitable color palettes are derived for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes). ...

 

Geospatial and visual modeling for exploring sediment source areas across the Sele River landscape, Italy

  
Italian Journal of Agronomy, Vol. 6, No. 2. (13 April 2011), https://doi.org/10.4081/ija.2011.e14

Abstract

This study uses the revised universal soil loss equation (RUSLE) and Geographic Information System technology to map erosion-prone areas in the Sele basin (Campania-Basilicata regions, southern Italy). Current land use/cover, soil erodibility and climate factors were evaluated to determine their effects on average annual soil loss. Geospatial technologies were applied to generate RUSLE factors and erosion map. Long-term soil losses were 53 Mg ha–1 per year averaged over an area of 2500 km2 and more than 30% of the Sele basin ...

 

The “physics” of notations: toward a scientific basis for constructing visual notations in software engineering

  
Software Engineering, IEEE Transactions on, Vol. 35, No. 6. (15 November 2009), pp. 756-779, https://doi.org/10.1109/tse.2009.67

Abstract

Visual notations form an integral part of the language of software engineering (SE). Yet historically, SE researchers and notation designers have ignored or undervalued issues of visual representation. In evaluating and comparing notations, details of visual syntax are rarely discussed. In designing notations, the majority of effort is spent on semantics, with graphical conventions largely an afterthought. Typically, no design rationale, scientific or otherwise, is provided for visual representation choices. While SE has developed mature methods for evaluating and designing semantics, ...

 

Visualizing uncertainty about the future

  
Science (New York, N.Y.), Vol. 333, No. 6048. (09 September 2011), pp. 1393-1400, https://doi.org/10.1126/science.1191181

Abstract

We are all faced with uncertainty about the future, but we can get the measure of some uncertainties in terms of probabilities. Probabilities are notoriously difficult to communicate effectively to lay audiences, and in this review we examine current practice for communicating uncertainties visually, using examples drawn from sport, weather, climate, health, economics, and politics. Despite the burgeoning interest in infographics, there is limited experimental evidence on how different types of visualizations are processed and understood, although the effectiveness of some ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/visualization

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.