Predicting Spatio-temporal Time Series Using Dimension Reduced Local States

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1432-1467

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Predicting Spatio-temporal Time Series Using Dimension Reduced Local States ; day:26 ; month:10 ; year:2019 ; pages:1-23
Journal of nonlinear science ; (26.10.2019), 1-23

Creator: Isensee, Jonas
Datseris, George
Parlitz, Ulrich

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00332-019-09588-7

URN: urn:nbn:de:101:1-2020021802501282598473

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:58 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Isensee, Jonas
Datseris, George
Parlitz, Ulrich
SpringerLink (Online service)

Other Objects (12)

Predicting the spatio-temporal dynamics of Popillia japonica populations

Hochschulschrift

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data

Spatio-temporal clustering

Spatio-Temporal Predicates

Hochschulschrift

Predicting spatio-temporal patterns during succession in a post-mining landscape

Hochschulschrift

Developing spatio-temporal copulas

Spatio-Temporal Data Types

Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach

A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates

Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

Konferenzschrift | Kongress

Spatio-temporal database management : proceedings

High-Dimensional Spatio-Temporal Indexing

Predicting the spatio-temporal dynamics of Popillia japonica populations

Hochschulschrift

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data

Spatio-temporal clustering

Spatio-Temporal Predicates

Hochschulschrift

Predicting spatio-temporal patterns during succession in a post-mining landscape

Hochschulschrift

Developing spatio-temporal copulas

Spatio-Temporal Data Types

Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach

A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates

Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

Konferenzschrift | Kongress

Spatio-temporal database management : proceedings

High-Dimensional Spatio-Temporal Indexing

Predicting the spatio-temporal dynamics of Popillia japonica populations

Hochschulschrift

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data

Spatio-temporal clustering

Spatio-Temporal Predicates

Hochschulschrift

Predicting spatio-temporal patterns during succession in a post-mining landscape

Hochschulschrift

Developing spatio-temporal copulas

Spatio-Temporal Data Types

Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach

A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates

Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

Konferenzschrift | Kongress

Spatio-temporal database management : proceedings

High-Dimensional Spatio-Temporal Indexing

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Predicting Spatio-temporal Time Series Using Dimension Reduced Local States

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Predicting the spatio-temporal dynamics of Popillia japonica populations

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data

Spatio-temporal clustering

Spatio-Temporal Predicates

Predicting spatio-temporal patterns during succession in a post-mining landscape

Developing spatio-temporal copulas

Spatio-Temporal Data Types

Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach

A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates

Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

Spatio-temporal database management : proceedings

High-Dimensional Spatio-Temporal Indexing

Predicting the spatio-temporal dynamics of Popillia japonica populations

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data

Spatio-temporal clustering

Spatio-Temporal Predicates

Predicting spatio-temporal patterns during succession in a post-mining landscape

Developing spatio-temporal copulas

Spatio-Temporal Data Types

Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach

A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates

Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

Spatio-temporal database management : proceedings

High-Dimensional Spatio-Temporal Indexing

Predicting the spatio-temporal dynamics of Popillia japonica populations

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data

Spatio-temporal clustering

Spatio-Temporal Predicates

Predicting spatio-temporal patterns during succession in a post-mining landscape

Developing spatio-temporal copulas

Spatio-Temporal Data Types

Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach

A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates

Modelling and predicting the spatio-temporal spread of COVID-19 in Italy

Spatio-temporal database management : proceedings

High-Dimensional Spatio-Temporal Indexing

Related objects

Reset password