A New Algorithm for Continuous Area Cartogram Construction with Triangulation of Regions and Restriction on Bearing Changes of Edges

Inoue, Ryo; Shimizu, Eihan

doi:10.1559/152304006777681698

Cited by 24 publications

(28 citation statements)

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“…Central America, India, Pakistan, Northern China, and Southeastern Australia registered high WSFs. Figure 2 shows the annual WSF and the WSF/WI ratio for each country between 1991 and 2000; the image was visually enhanced using a cartogram [30]. The area of each country is proportionate to the WSF map, and boundary lines have been maintained.…”

Section: Water Footprint Inventory and The Water Scarcity Footprint Omentioning

confidence: 99%

Potential Impacts of Food Production on Freshwater Availability Considering Water Sources

Yano

Hanasaki

Itsubo

et al. 2016

Water

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Abstract:We quantify the potential impacts of global food production on freshwater availability (water scarcity footprint; WSF) by applying the water unavailability factor (fwua) as a characterization factor and a global water resource model based on life cycle impact assessment (LCIA). Each water source, including rainfall, surface water, and groundwater, has a distinct fwua that is estimated based on the renewability rate of each geographical water cycle. The aggregated consumptive water use level for food production (water footprint inventory; WI) was found to be 4344 km 3 /year, and the calculated global total WSF was 18,031 km 3 H 2 Oeq/year, when considering the difference in water sources. According to the fwua concept, which is based on the land area required to obtain a unit volume of water from each source, the calculated annual impact can also be represented as 98.5ˆ10 6 km 2 . This value implies that current agricultural activities requires a land area that is over six times larger than global total cropland. We also present the net import of the WI and WSF, highlighting the importance of quantitative assessments for utilizing global water resources to achieve sustainable water use globally.

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Section: Water Footprint Inventory and The Water Scarcity Footprint Omentioning

confidence: 99%

Potential Impacts of Food Production on Freshwater Availability Considering Water Sources

Yano

Hanasaki

Itsubo

et al. 2016

Water

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“…Numerous algorithms has been proposed to generate cartograms aimed at controlling the shape distortion, preserving the topology of the polygons to enhance the readability, and improving the computing efficiency (e.g., [36,[60][61][62][63][64][65]). For example, Dougenik, et al [66] presented an algorithm that assumes forces exerted from each polygon centroid to the coordinates of boundary point, making these points displaced.…”

Section: Data and Softwarementioning

confidence: 99%

Towards Measuring and Visualizing Sustainable National Power—A Case Study of China and Neighboring Countries

Liao

Dong

Hui-ping

et al. 2015

IJGI

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This paper presents a new perspective of national power-sustainable national power (SNP)-emphasizing both the traditional comprehensive national power (CNP) and social and environmental sustainability. We propose a measurement to quantify the SNP based on the measurement of comprehensive national power and a sustainable adjusted index. In addition, density-equalizing maps are adopted to visualize the sustainable national power of countries in order to gain a better understanding for its current state and future development from a cartographic perspective. China and its neighboring countries are selected as a case study area. The results show that China outperforms other countries in most of the CNP dimensions but performs poorly in various SNP-adjusted dimensions within the study area. The composite score shows that China is with the highest regional SNP, followed by Japan, Russia, South Korea and India. Furthermore, time series of cartograms reveal evidence showing power transitions among countries. In addition, the effectiveness of cartograms for cartographic communication is discussed.

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“…The idea behind cartograms is very close to our map metaphor, which in fact can be seen as an area cartogram derived from an imaginary world. Many algorithms for computing area cartograms are available in the literature (see, for example, [19,22,27]). However, their attempt to preserve the original shape is irrelevant in our setting, since our countries do not have a prescribed shape.…”

Section: State Of the Artmentioning

confidence: 99%

How to Visualize the K-root Name Server

Battista

Squarcella

Nagele³

2012

JGAA

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We present a novel paradigm to visualize the evolution of the service provided by one of the most popular root name servers, called K-root, operated by the RIPE Network Coordination Centre (RIPE NCC) and distributed in several locations (instances) worldwide. Our approach can be used to either monitor what happened during a prescribed time interval or observe the status of the service in near real-time. We visualize how and when the clients of K-root migrate from one instance to another, how the workload associated with each instance changes over time, and what are the instances that contribute to offer the service to a selected Internet Service Provider. In addition, the visualization aims at distinguishing usual from unusual operational patterns. This helps not only to improve the quality of the service but also to spot security-related issues and to investigate unexpected routing changes.

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A New Algorithm for Continuous Area Cartogram Construction with Triangulation of Regions and Restriction on Bearing Changes of Edges

Cited by 24 publications

References 0 publications

Potential Impacts of Food Production on Freshwater Availability Considering Water Sources

Potential Impacts of Food Production on Freshwater Availability Considering Water Sources

Towards Measuring and Visualizing Sustainable National Power—A Case Study of China and Neighboring Countries

How to Visualize the K-root Name Server

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