Istanbul'daki göçmenlerin uydu görüntüleri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi

Bilgecag Aydogdu; Çaǧla Balcik; Subhi Güneş; Rahman Momeni; Albert Ali Salah

doi:10.1109/SIU59756.2023.10223985

Istanbul'daki göçmenlerin uydu görüntüleri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi

Translated title of the contribution: Fine-Grained Mapping of Migrants in Istanbul Using Satellite Imaging and Mobile Phone Data

Bilgecag Aydogdu, Çaǧla Balcik, Subhi Güneş, Rahman Momeni, Albert Ali Salah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This study aims to create a fine grained mapping of the migrant population in Istanbul using land use, nighttime satellite, and extended detail records (xDR) data. We use statistical bias correction methods such as calibration and weighting, spatial scaling methods, and machine learning methods to create the fine granular maps. The use of big data allows for a granular analysis of migrant behavior, contributing to evidence based policies, which can improve the living conditions of migrants. In this study, we use only aggregated data in order to protect personal data. The results demonstrate that satellite and mobile data sources can be used for fine-grained population mapping.

Translated title of the contribution	Fine-Grained Mapping of Migrants in Istanbul Using Satellite Imaging and Mobile Phone Data
Original language	Other
Title of host publication	2023 31st Signal Processing and Communications Applications Conference (SIU)
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	9798350343557
DOIs	https://doi.org/10.1109/SIU59756.2023.10223985
Publication status	Published - 28 Aug 2023
Event	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Duration: 5 Jul 2023 → 8 Jul 2023

Conference

Conference	31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Country/Territory	Turkey
City	Istanbul
Period	5/07/23 → 8/07/23

Keywords

Computational social science
Migration indicators
Mobile data
Satellite imaging

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10.1109/SIU59756.2023.10223985

Fine-Grained_Mapping_of_Migrants_in_Istanbul_Using_Satellite_Imaging_and_Mobile_Phone_DataFinal published version, 2.62 MBLicence: Taverne

Cite this

@inproceedings{da28544773f845728312864c20ad0803,

title = "Istanbul'daki g{\"o}{\c c}menlerin uydu g{\"o}r{\"u}nt{\"u}leri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi",

abstract = "This study aims to create a fine grained mapping of the migrant population in Istanbul using land use, nighttime satellite, and extended detail records (xDR) data. We use statistical bias correction methods such as calibration and weighting, spatial scaling methods, and machine learning methods to create the fine granular maps. The use of big data allows for a granular analysis of migrant behavior, contributing to evidence based policies, which can improve the living conditions of migrants. In this study, we use only aggregated data in order to protect personal data. The results demonstrate that satellite and mobile data sources can be used for fine-grained population mapping.",

keywords = "Computational social science, Migration indicators, Mobile data, Satellite imaging",

author = "Bilgecag Aydogdu and {\c C}aǧla Balcik and Subhi G{\"u}ne{\c s} and Rahman Momeni and Salah, {Albert Ali}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 ; Conference date: 05-07-2023 Through 08-07-2023",

year = "2023",

month = aug,

day = "28",

doi = "10.1109/SIU59756.2023.10223985",

language = "Other",

pages = "1--4",

booktitle = "2023 31st Signal Processing and Communications Applications Conference (SIU)",

publisher = "IEEE",

address = "United States",

}

Aydogdu, B, Balcik, Ç, Güneş, S, Momeni, R & Salah, AA 2023, Istanbul'daki göçmenlerin uydu görüntüleri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi. in 2023 31st Signal Processing and Communications Applications Conference (SIU). IEEE, pp. 1-4, 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Istanbul, Turkey, 5/07/23. https://doi.org/10.1109/SIU59756.2023.10223985

Istanbul'daki göçmenlerin uydu görüntüleri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi. / Aydogdu, Bilgecag; Balcik, Çaǧla; Güneş, Subhi et al.
2023 31st Signal Processing and Communications Applications Conference (SIU). IEEE, 2023. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Istanbul'daki göçmenlerin uydu görüntüleri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi

AU - Aydogdu, Bilgecag

AU - Balcik, Çaǧla

AU - Güneş, Subhi

AU - Momeni, Rahman

AU - Salah, Albert Ali

PY - 2023/8/28

Y1 - 2023/8/28

N2 - This study aims to create a fine grained mapping of the migrant population in Istanbul using land use, nighttime satellite, and extended detail records (xDR) data. We use statistical bias correction methods such as calibration and weighting, spatial scaling methods, and machine learning methods to create the fine granular maps. The use of big data allows for a granular analysis of migrant behavior, contributing to evidence based policies, which can improve the living conditions of migrants. In this study, we use only aggregated data in order to protect personal data. The results demonstrate that satellite and mobile data sources can be used for fine-grained population mapping.

AB - This study aims to create a fine grained mapping of the migrant population in Istanbul using land use, nighttime satellite, and extended detail records (xDR) data. We use statistical bias correction methods such as calibration and weighting, spatial scaling methods, and machine learning methods to create the fine granular maps. The use of big data allows for a granular analysis of migrant behavior, contributing to evidence based policies, which can improve the living conditions of migrants. In this study, we use only aggregated data in order to protect personal data. The results demonstrate that satellite and mobile data sources can be used for fine-grained population mapping.

KW - Computational social science

KW - Migration indicators

KW - Mobile data

KW - Satellite imaging

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M3 - Conference contribution

AN - SCOPUS:85173501383

SP - 1

EP - 4

BT - 2023 31st Signal Processing and Communications Applications Conference (SIU)

PB - IEEE

T2 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

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ER -

Istanbul'daki göçmenlerin uydu görüntüleri ve cep telefonu verisi kullanilarak ayrintili haritalandirilmasi

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Keywords

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