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Accessed September 16, Concepts and Applications of Voronoi Diagrams. Accessed May 22, This data sits idle and is innocuous until potential litigation arises. Predictability of population displacement after the Haiti earthquake. These new data have the potential to profoundly transform the way we think about and conduct science, especially geographical analyses, as most of these data are implicitly or explicitly spatial 59 , Determining global population distribution. Think about all the data floating around and how this data could be potentially relevant in the legal realm. A geographical perspective to evening rush hour traffic analysis using call detail records. This study demonstrates how the analysis of MP data that are collected readily every day by phone network providers can complement traditional census outputs. Global demographic trends and future carbon emissions. Mobile devices topped the 8 billion mark in , with only 7. Spatial Tessellations.

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Description: As consumers begin to rely on their wireless devices more, retailers and manufacturers have to adapt to shifting preferences to remain competitive and retain and grow market share. Partnerships between governments and phone companies supported by appropriate incentives might enable fast and cheap production of population maps in emergency contexts, enabling rapid assessments of populations at risk or those affected by disasters, disease outbreaks, or conflict. Support Center Support Center. The authors declare no conflict of interest. Spatial demography in the measurement of progress. Footnotes The authors declare no conflict of interest. Significance Knowing where people are is critical for accurate impact assessments and intervention planning, particularly those focused on population health, food security, climate change, conflicts, and natural disasters. The global MP penetration rate i. Population policy in transition in the developing world. International Telecommunication Union Blondel , a and Andrew J. The potential of MP data to estimate population density variations through time is illustrated in Fig. Even if at present the most remote and isolated populations may not have reception in some low-income countries, possibly affecting the ability to produce a comprehensive countrywide map, network coverage continues to grow at a rapid rate everywhere.
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