Exploratory Analysis of Massive Movement Data

被引：0

作者：

Graser, Anita ^{[1
,2
]}

机构：

[1] AIT Austrian Inst Technol, Vienna, Austria

[2] Paris Lodron Univ Salzburg, Salzburg, Austria

来源：

PROCEEDINGS OF THE 2024 25TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT, MDM 2024 | 2024年

关键词：

exploratory analysis; trajectory data; mobility data science; spatial data science;

D O I：

10.1109/MDM61037.2024.00066

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This dissertation combines both novel methodological work as well as high-quality scientific software development for mobility data science. It presents novel methods enabling movement data exploration that scale to massive datasets, describes the development of a novel open source scientific Python library for EDA of movement data (MovingPandas), and proposes the first structured EDA protocol for movement data.

引用

页码：325 / 327

页数：3

共 15 条

[1]

Bednar James A, 2021, Zenodo, DOI 10.5281/ZENODO.4627548

[2] The effects of COVID-19 induced lockdown measures on maritime settings of a coastal region [J].

Depellegrin, Daniel ;

Bastianini, Mauro ;

Fadini, Amedeo ;

Menegon, Stefano .

SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 740

[3]

Fecher R., 2017, FOSS4G C P, V17, DOI [10.7275/R5639MXD, DOI 10.7275/R5639MXD]

[4] An exploratory data analysis protocol for identifying problems in continuous movement data [J].

Graser, A. .

JOURNAL OF LOCATION BASED SERVICES, 2021, 15 (02) :89-117

[5]

Graser A, 2021, HDB BIG GEOSPATIAL D, P285, DOI [10.1007/978-3-030-55462-012, DOI 10.1007/978-3-030-55462-0_1]

[6]

Graser A., 2020, GI Forum-Journal of Geographic Information Science, V8, P153, DOI [10.1553/giscience202001s153, DOI 10.1553/GISCIENCE202001S153]

[7]

Graser A., 2020, KN J. Cartogr. Geogr. Inf., V70, P3, DOI [10.1007/s42489-020-00039-y, DOI 10.1007/S42489-020-00039-Y]

[8]

Graser A., 2018, GI Forum, V2018, P16, DOI [10.1553/giscience201801s16, DOI 10.1553/GISCIENCE201801S16]

[9]

Graser A., 2019, GI FORUM, V1, P54, DOI [10.1553/giscience2019_01_s54, DOI 10.1553/GISCIENCE2019_01_S54, DOI 10.1553/GISCIENCE201901S54, 10.1553/giscience2019.01.s54]

[10]

Graser A, 2020, Arxiv, DOI arXiv:2006.16900

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