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1

Böhlen, Michael H., Christian S. Jensen, and Michel O. Scholl, eds. Spatio-Temporal Database Management. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48344-6.

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2

Kevin, Shaw, and Abdelguerfi Mahdi, eds. Mining spatio-temporal information systems. Kluwer Academic Publishers, 2002.

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3

Caluwe, Rita. Spatio-Temporal Databases: Flexible Querying and Reasoning. Springer Berlin Heidelberg, 2004.

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4

Ladner, Roy. Mining Spatio-Temporal Information Systems. Springer US, 2002.

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5

George, Betsy. Spatio-temporal Networks: Modeling and Algorithms. Springer New York, 2013.

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6

de Caluwe, Rita, Guy de Tré, and Gloria Bordogna, eds. Spatio-Temporal Databases. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09968-1.

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7

Sellis, Timos K., Manolis Koubarakis, Andrew Frank, et al., eds. Spatio-Temporal Databases. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b83622.

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8

Vieira, Marcos R., and Vassilis J. Tsotras. Spatio-Temporal Databases. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02408-0.

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9

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics, and Cybernetics (7th : 1994 : Baden-Baden, Germany), eds. Advances in database and expert systems: Federated and replicated databases, spatio-temporal databases, multi database systems, database design methodologies, complex object modeling, knowledge and knowledge-based systems, computer-based decison [sic] support systems, expert systems in a distributed database environment, formal models of legal reasoning, legal databases and legal expert systems. International Institute for Advanced Studies in Systems Research and Cybernetics, 1995.

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10

service), SpringerLink (Online, ed. Introduction to Databases: From Biological to Spatio-Temporal. Springer-Verlag London, 2010.

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11

Y, Kambayashi, and International Conference on Conceptual Modeling (17 : 1998 : Singapore), eds. Advances in database technologies: ER'98 Workshops on Data Warehousing and Data Mining, Mobile Data Access, and Collaborative Work Support and Spatio-Temporal Data Management, Singapore, November 19-20, 1998 : proceedings. Springer, 1999.

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12

Hsu, Wynne, Mong Li Lee, and Junmei Wang. Temporal and Spatio-temporal Data Mining. IGI Publishing, 2007.

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13

Grumbach, Stéphane, Andrew U. Frank, Timos Sellis, Ralf Hartmut Güting, and Manolis Koubarakis. Spatio-Temporal Databases: The CHOROCHRONOS Approach. Springer London, Limited, 2003.

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14

Cui, Bin, and Hongzhi Yin. Spatio-Temporal Recommendation in Social Media. Springer, 2016.

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15

Cui, Bin, and Hongzhi Yin. Spatio-Temporal Recommendation in Social Media. Springer London, Limited, 2016.

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16

Luc, Heres, ed. Time in GIS: Issues in spatio-temporal modelling. Nederlandse Commissie voor Geodesie, 2000. http://dx.doi.org/10.54419/v5m55p.

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Most Geographic Information Systems started as a substitute for loose paper maps. These paper maps did not have a built-in time dimension and could only represent history indirectly as a sequence of physically separate images. This was in fact imitated by these first generation systems. The time dimension could only be represented by means of separate files. A minority of Geographic Information Systems however, started their life as a substitute for ordered lists and tables with a link to paper maps. In these lists, the inclusion of a time com-ponent in the form of a data field was quite usual. This method too was copied by the systems that replaced these paper tables. The current trend in the development of Geographic Information Systems is towards the inte-gration of the classical map-oriented concepts with the table-oriented concepts. This often leads to the explicit embedding of the time component in the GIS environment. The Subcommission Geo-Information Models of the Netherlands Geodetic Commission has organized a workshop to discuss the theory and practice of time and history in GIS on 18 May 2000. This publication contains 6 articles prepared for the workshop. The first paper, written by Donna Peuquet, gives a bird’s-eye view of the current state of the art in spatio-temporal database technology and methodology. She is a well-known expert in the field of spatio-temporal information systems and the author of many articles in this field. The second article is written by Monica Wachowicz. She describes what you can do with a GIS once it contains a historical dimension and how you can detect changes in geographic phenomena. Furthermore, her article suggests how geographic visualisation and knowledge discovery techniques can be integrated in a spatio-temporal database. How to record the time dimension in a database is one thing, how to show this dimension to users is another one. In his contribution, Menno-Jan Kraak first tells about the techniques, which were used in the age of paper maps and the limitations these methods had. He goes on to explain what kind of cartographic techniques have been developed since the mass introduc-tion of the computer. Finally he describes the powerful animation methods which currently exist and can be used on CD-ROM and Internet applications. Peter van Oosterom describes how the time dimension is represented in the information sys-tems of the Cadastre and how this is used to publish updates. The Cadastre has a very long tradition in incorporating the time component, which has always been an inherent component of the cadastral registration. In former times this was translated in very precise procedures about how to update the paper maps and registers. Today it is translated in spatio-temporal database design. The article of Luc Heres tells about the time component in the National Road Database, origi-nally designed for traffic accident registration. This is one of the systems with ''table'' roots and with quite a long tradition in handling the time dimension. He elucidates first the core objects in the conceptual model and how time is added. Next, how this model is translated in a logical design and finally how this is technically implemented. Geologists and geophysicians also have a respectable tradition in handling the time dimension in the data they collect. This is illustrated in the last paper, which is written by Ipo Ritsema. He outlines how time is handled in geological and geophysical databases maintained by TNO. By means of some practical cases he illustrates which problems can be encountered and how these can be solved.
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17

Spaccapietra, Stefano, Christine Parent, and Esteban Zimányi. Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach. Springer London, Limited, 2006.

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18

Spaccapietra, Stefano, Christine Parent, and Esteban Zimányi. Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach. Springer, 2010.

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19

Mining Spatio-Temporal Information Systems (The Springer International Series in Engineering and Computer Science). Springer, 2002.

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20

Böhlen, Michael H., Michel O. Scholl, and Christian S. Jensen. Spatio-Temporal Database Management: International Workshop STDBM'99 Edinburgh, Scotland, September 10-11, 1999 Proceedings. Springer London, Limited, 2003.

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21

Shuhui, Wang, George A. Vouros, Christos Doulkeridis, and Qiang Qu. Mobility Analytics for Spatio-Temporal and Social Data: First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected ... Springer, 2018.

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22

Springer. Spatio-Temporal Databases. Springer London, Limited, 2013.

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23

(Editor), Yahiko Kambayashi, Dik Lun Lee (Editor), Ee-Peng Lim (Editor), Mukesh Kumar Mohania (Editor), and Yoshifumi Masunaga (Editor), eds. Advances in Database Technologies: ER '98 Workshops on Data Warehousing and Data Mining, Mobile Data Access, and Collaborative Work Support and Spatio-Temporal ... (Lecture Notes in Computer Science). Springer, 1999.

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24

(Editor), Michael H. Böhlen, Christian S. Jensen (Editor), and Michel O. Scholl (Editor), eds. Spatio-Temporal Database Management: International Workshop STDBM'99 Edinburgh, Scotland, September 10-11, 1999 Proceedings (Lecture Notes in Computer Science). Springer, 1999.

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25

Hadzilacos, Thanasis, Yannis Theodoridis, John F. Roddick, and Yannis Manolopoulos. Advances in Spatial and Temporal Databases: 8th International Symposium, SSTD 2003, Santorini Island, Greece, July 24 - 27, 2003. Proceedings. Springer London, Limited, 2003.

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26

(Editor), Rita de Caluwe, Guy de Tré (Editor), and Gloria Bordogna (Editor), eds. Spatio-Temporal Databases: Flexible Querying and Reasoning. Springer, 2004.

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27

Revesz, Peter. Introduction to Databases: From Biological to Spatio-Temporal. Springer, 2012.

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28

Revesz, Peter. Introduction to Databases: From Biological to Spatio-Temporal. Springer, 2010.

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29

Lee, Dik Lun, Mukesh Kumar Mohania, Ee-Peng Lim, Yahiko Kambayashi, and Yoshifumi Masunaga. Advances in Database Technologies: ER '98 Workshops on Data Warehousing and Data Mining, Mobile Data Access, and Collaborative Work Support and Spatio-Temporal Data Management, Singapore, November 19-20, 1998, Proceedings. Springer London, Limited, 2004.

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30

(Editor), Manolis Koubarakis, Timos Sellis (Editor), Andrew U. Frank (Editor), et al., eds. Spatio-Temporal Databases: The CHOROCHRONOS Approach (Lecture Notes in Computer Science). Springer, 2003.

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31

Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer, 2005.

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32

Andrienko, Natalia, and Gennady Andrienko. Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer London, Limited, 2006.

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33

Andrienko, Natalia, and Gennady Andrienko. Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer, 2016.

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