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acceptance date: 2019-07-31
collection: http://id.e-science.pl/vocab/collection/9
software: SQLite 3, Python 3
language: Angielski
title: Wyniki symualcji modelu pośrednich możliwości na sieci w kształcie kraty
destination group: naukowcy
type: Database
collection: http://id.e-science.pl/vocab/collection/1
creation year: 2018
scientific discipline: Dziedzina nauk inżynieryjno-technicznych / architektura i urbanistyka (2018)
place of creation: Wrocław
description: Zbiór graficznej wizualizacji wyników symulacji modelu pośrednich możliwości przeprowadzonych na sieci o kształcie kraty, w której oczkach umieszczone są punkty źródłowo-celowe. Wynikiem jest taki stan początkowy źródeł, który pozwala na uzyskanie zadanego rozkładu celów po zajściu wymiany ruchu metodą pośrednich możliwości. Na wynikach obliczone wielkości źródeł oznaczone są kołami odpowiedniej wielkości. Kolorem czerwonym i niebieskim oznaczone są odpowiednio dodatnie i ujemne wartości. Obliczenia wymagały rozwiązywania dużych układów macierzowych co stało się możliwe dopiero dzięki dostępności komputerów.\nPrzestrzenią modelowania jest kwadratowa sieć o rozmiarach boku od 2 do 21 jednostek - każdy rozmiar sieci dzielony jest na pierścienie równej wielkości. Dla każdej ilości pierścieni w sieci o określonym rozmiarze przeprowadzono symulację dla 1000 różnych wartości parametru ucieczki, zwiększającego się logarytmicznie od 0,0000001 do 0,9. Udostępnione równolegle z wynikami bazy danych zawierają także informację o poszczególnych etapach stanowiąc uzasadnienie dla otrzymanych rezultatów ostatecznych (graficznych). Wyniki można analizować pod kątem zmian w różnych parametrach obliczeń. Jest to zatem wielowymiarowe modelowanie kohortowe.\nSzczegółowe informacje dotyczące zawartości tabel dostępne są w dokumentacji projektu Pankus. Symulacje przeprowadzono za pomocą skryptu „symul1.py”, wykorzystując pakiet pankus (https://github.com/gospodarka-przestrzenna/pankus), dostępny w języku oprogramowania Python. \nNiniejszy zbiór wyników pozwala na zrozumienie i analizę mechanizmu działania modelu pośrednich możliwości w prostych warunkach, stanowiąc jednocześnie kanwę dla potencjalnych artykułów naukowych i prac badawczych.

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