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Математичне моделювання для оптимізації інфраструктури розумного села

Математичне моделювання для оптимізації інфраструктури розумного села

Abstract

Метою дослідження є застосування методів математичного моделювання для визначення залежності між кількістю мешканців та інфраструктурною наповненістю села, а також оцінки якості життя в контексті концепції "розумного села". Об'єктом дослідження є інфраструктурні системи та демографічні показники сільських населених пунктів. Розглянуто дані щодо відстані до об’єктів інфраструктури сіл зібрані за допомогою ГІС-технологій та статистичні дані про кількість населення сільських територій України.

Keywords

регресійні моделі, Методи математичного моделювання, кількість населення сіл, розумне село, якість сіл

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green