Color map design for visualization in flood risk assessment

Seipel, Stefan; Lim, Nancy Joy

doi:10.1080/13658816.2017.1349318

Cited by 32 publications

(20 citation statements)

References 49 publications

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“…Although there are several studies that assess the design of flood maps, such as the most appropriate colour scheme for depicting floodplains (Seipel and Lim, 2017), this study focused on key characteristics that international scholars highlight as important for public risk communication. In this context, the purpose of the map is to inform the public about flood risks and motivate individuals to take precautionary actions (Hagemeier-Klose and Wagner, 2009).…”

Section: Quality Evaluation Frameworkmentioning

confidence: 99%

Communicating Disaster Risk? An Evaluation of the Availability and Quality of Flood Maps

Henstra¹,

Minano²,

Thistlethwaite³

2018

Preprint

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One of the key priorities for disaster risk reduction is to ensure decision-makers, stakeholders, and the public understand their exposure to disaster risk, so that they can take protective action. Flood maps are a potentially valuable tool for facilitating this understanding of flood risk, but previous research has found that they vary considerably in availability and quality. Using an evaluation framework comprising nine criteria grounded in existing scholarship, this study assessed the 10 quality of flood maps available to the public in Canadian communities located in designated flood risk areas. It found that flood maps in most municipalities (62%) are low-quality (meeting less than 50% of the criteria) and the highest score was 78% (7 of 9 criteria met). The findings suggest that a more concerted effort to produce high-quality, publicly-accessible flood maps is required to support Canada's international commitment to disaster risk reduction. Further questions surround possible weighting of quality assessment criteria, whether and how individuals seek out flood maps, and how flood risk information 15 could be better communicated using modern technology.

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Section: Quality Evaluation Frameworkmentioning

confidence: 99%

Communicating Disaster Risk? An Evaluation of the Availability and Quality of Flood Maps

Henstra¹,

Minano²,

Thistlethwaite³

2018

Preprint

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show abstract

“…In Canada, Stevens and Hanschka (2014) collected flood hazard maps from every municipality in the province of British Columbia and evaluated them based on 32 good mapping practices, such as whether they included a legend, indicated the floodway boundary, included the flood elevation for different probabilities, and showed the boundaries of individual property parcels. They found that only 43 % of municipalities possessed a flood hazard map and most of these maps were of poor quality for land use decision-making, with no map containing more than 15 of the 32 assessment criteria (i.e., > 47 %).…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Quality Evaluation Frameworkmentioning

confidence: 99%

Communicating disaster risk? An evaluation of the availability and quality of flood maps

Henstra

Minano

Thistlethwaite

2019

Nat. Hazards Earth Syst. Sci.

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Abstract. One of the key priorities for disaster risk reduction is to ensure decision makers, stakeholders, and the public understand their exposure to disaster risk, so that they can take protective action. Flood maps are a potentially valuable tool for facilitating this understanding of flood risk, but previous research has found that they vary considerably in availability and quality. Using an evaluation framework comprising nine criteria grounded in existing scholarship, this study assessed the quality of flood maps available to the public in Canadian communities located in designated flood risk areas. It found that flood maps in most municipalities (62 %) are low quality (meeting less than 50 % of the criteria) and the highest score was 78 % (seven of nine criteria met). The findings suggest that a more concerted effort to produce high-quality, publicly accessible flood maps is required to support Canada's international commitment to disaster risk reduction. Further questions surround possible weighting of quality assessment criteria, whether and how individuals seek out flood maps, and how flood risk information could be better communicated using modern technology.

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“…Linear interpolation and curve interpolation are commonly used methods to create sequential color schemes. 14,15,19,[22][23][24] Here, we choose the linear interpolation, the most widely used method, as our interpolation method and select the CIELAB color space, which is perceptually uniform, as our color space. Through linear interpolation, sequential color schemes can be generated along lines in the CIELAB color space.…”

Section: Interpolation Of Sequential Color Schemesmentioning

confidence: 99%

“…15 These methods assume that the starting color and ending color have already been given or selected. Then, intervening colors can be generated using interpolation algorithms that include linear, 19,[22][23][24] curve, 14,25 and inverse distance weighting interpolation algorithms. 26 For example, Seipel 23 selected blue and gray as the starting color and ending color, respectively.…”

Section: Introductionmentioning

confidence: 99%

A harmony‐based approach to generating sequential color schemes for maps

Chen

Zhu

et al. 2019

Color Research & Application

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Generating high-quality sequential color schemes for maps is challenging for most mapmakers. This article presents a harmony-based approach for automatically generating sequential color schemes for maps. The proposed approach consists of two steps: (a) color harmony quantification for sequential color schemes on maps and (b) color scheme generation using quantified color harmony factors. The approach was tested using three experimental maps, including the Chinese water body density index map, Chinese vegetation cover index map, and Chinese population density map. Effectiveness was evaluated by comparing color schemes generated by the proposed approach with those created by the probability-based method and ColorBrewer. Twenty-six participants were invited to rate each map color scheme using a 5-point scale. A t test was also used to examine the significance of the difference. The results show that the mean points of color schemes using the proposed approach are higher than those using the probability-based method, and the corresponding Pvalues are far lower than .05, which suggests that the proposed approach is better than the probability-based method and can improve the sequential color scheme quality in automatic ways. The mean points of color schemes created using the proposed approach are also slightly higher than or similar to those of ColorBrewer, which are well-known map color schemes manually designed by an experienced cartographer. This result further suggests that the proposed approach can meet the requirement of automatic generation for high-quality sequential color schemes on maps. K E Y W O R D Scolor harmony, map color, sequential color scheme

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Color map design for visualization in flood risk assessment

Cited by 32 publications

References 49 publications

Communicating Disaster Risk? An Evaluation of the Availability and Quality of Flood Maps

Communicating Disaster Risk? An Evaluation of the Availability and Quality of Flood Maps

Communicating disaster risk? An evaluation of the availability and quality of flood maps

A harmony‐based approach to generating sequential color schemes for maps

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