Geospatial Analytics Extension for KNIME
The Geospatial Analytics Extension for KNIME (GAEK) is an innovative tool designed to integrate visual programming with geospatial analytics, streamlining GIS education and research in social sciences. GAEK simplifies access for users with an intuitive, visual interface for complex spatial analysis...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2024-02-01
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Series: | SoftwareX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023003230 |
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author | Lingbo Liu Xiaokang Fu Tobias Kötter Kevin Sturm Carsten Haubold Weihe Wendy Guan Shuming Bao Fahui Wang |
author_facet | Lingbo Liu Xiaokang Fu Tobias Kötter Kevin Sturm Carsten Haubold Weihe Wendy Guan Shuming Bao Fahui Wang |
author_sort | Lingbo Liu |
collection | DOAJ |
description | The Geospatial Analytics Extension for KNIME (GAEK) is an innovative tool designed to integrate visual programming with geospatial analytics, streamlining GIS education and research in social sciences. GAEK simplifies access for users with an intuitive, visual interface for complex spatial analysis tasks and contributes to the organization of the GIS Knowledge Tree through its geospatial analytics nodes. This paper discusses GAEK's architecture, functionalities, and its transformative impact on GIS applications. While GAEK significantly enhances user experience and research reproducibility, future updates aim to expand its functionality and optimize its bundled environment. |
first_indexed | 2024-03-08T18:29:40Z |
format | Article |
id | doaj.art-5902d3ff684b42839e49d64965ef4c9f |
institution | Directory Open Access Journal |
issn | 2352-7110 |
language | English |
last_indexed | 2024-03-08T18:29:40Z |
publishDate | 2024-02-01 |
publisher | Elsevier |
record_format | Article |
series | SoftwareX |
spelling | doaj.art-5902d3ff684b42839e49d64965ef4c9f2023-12-30T04:44:30ZengElsevierSoftwareX2352-71102024-02-0125101627Geospatial Analytics Extension for KNIMELingbo Liu0Xiaokang Fu1Tobias Kötter2Kevin Sturm3Carsten Haubold4Weihe Wendy Guan5Shuming Bao6Fahui Wang7Center for Geographic Analysis, Harvard University, MA 02138, USACenter for Geographic Analysis, Harvard University, MA 02138, USAKNIME GmbH, Körtestr. 10, 10967 Berlin, GermanyKNIME GmbH, Körtestr. 10, 10967 Berlin, GermanyKNIME GmbH, Körtestr. 10, 10967 Berlin, GermanyCenter for Geographic Analysis, Harvard University, MA 02138, USAChina Data Institute, Ann Arbor, MI 48108, USADepartment of Geography & Anthropology, Louisiana State University, LA 70803, USA; Corresponding author.The Geospatial Analytics Extension for KNIME (GAEK) is an innovative tool designed to integrate visual programming with geospatial analytics, streamlining GIS education and research in social sciences. GAEK simplifies access for users with an intuitive, visual interface for complex spatial analysis tasks and contributes to the organization of the GIS Knowledge Tree through its geospatial analytics nodes. This paper discusses GAEK's architecture, functionalities, and its transformative impact on GIS applications. While GAEK significantly enhances user experience and research reproducibility, future updates aim to expand its functionality and optimize its bundled environment.http://www.sciencedirect.com/science/article/pii/S2352711023003230Geospatial analyticsKNIME analytics platformGISVisual programmingReplicability and reproducibility |
spellingShingle | Lingbo Liu Xiaokang Fu Tobias Kötter Kevin Sturm Carsten Haubold Weihe Wendy Guan Shuming Bao Fahui Wang Geospatial Analytics Extension for KNIME SoftwareX Geospatial analytics KNIME analytics platform GIS Visual programming Replicability and reproducibility |
title | Geospatial Analytics Extension for KNIME |
title_full | Geospatial Analytics Extension for KNIME |
title_fullStr | Geospatial Analytics Extension for KNIME |
title_full_unstemmed | Geospatial Analytics Extension for KNIME |
title_short | Geospatial Analytics Extension for KNIME |
title_sort | geospatial analytics extension for knime |
topic | Geospatial analytics KNIME analytics platform GIS Visual programming Replicability and reproducibility |
url | http://www.sciencedirect.com/science/article/pii/S2352711023003230 |
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