Academic Journal

Modeling distances between humans using Taylor’s law and geometric probability

التفاصيل البيبلوغرافية
العنوان: Modeling distances between humans using Taylor’s law and geometric probability
المؤلفون: Cohen, Joël, Courgeau, Daniel
المساهمون: Institut de Mathématiques de Marseille (I2M), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Institut national d'études démographiques (INED)
المصدر: ISSN: 0889-8480 ; Mathematical Population Studies ; https://hal.science/hal-02082211 ; Mathematical Population Studies, 2017, 24 (4), pp.197-218. ⟨10.1080/08898480.2017.1289049⟩.
بيانات النشر: HAL CCSD
Taylor & Francis (Routledge)
سنة النشر: 2017
المجموعة: Aix-Marseille Université: HAL
مصطلحات موضوعية: internal migration, geometric probability, Taylor's law, spatial distribution, population density, urban hierarchies, [SHS.DEMO]Humanities and Social Sciences/Demography, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
الوصف: International audience ; Taylor's law states that variance of the distribution of distance between two randomly chosen individuals is a power function of the mean distance. It applies to the distances between two randomly chosen points in various geometric shapes, subject to a few conditions. In Réunion Island and France, at some spatial scales, the empirical frequency distributions of inter-individual distances are predicted accurately by the theoretical frequency distributions of inter-point distances in models of geometric probability under a uniform distribution of points. When these models fail to predict the empirical frequency distributions of inter-individual distances, they provide baselines against which to highlight the spatial distribution of population concentrations.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: hal-02082211; https://hal.science/hal-02082211; https://hal.science/hal-02082211/document; https://hal.science/hal-02082211/file/Modelling%20distances%20between%20humans%20using%20Taylor%27s%20law.pdf
DOI: 10.1080/08898480.2017.1289049
الاتاحة: https://hal.science/hal-02082211
https://hal.science/hal-02082211/document
https://hal.science/hal-02082211/file/Modelling%20distances%20between%20humans%20using%20Taylor%27s%20law.pdf
https://doi.org/10.1080/08898480.2017.1289049
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.D5C1E4E5
قاعدة البيانات: BASE
الوصف
DOI:10.1080/08898480.2017.1289049