The Workbench for Spatial Data Science
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This presentation explores methodologies and establishes protocols for developing workbenches for spatial data science in research, teaching, and business applications.The objectives of this workbench are to provide:(1) An easy, efficient and customizable toolkit for spatial data analysis with newly added nodes,  (2) An integration of data, methodology, and applications for spatial data science, (3) Workflow-based case studies for teaching and research in spatial social science, (4) A training base for users with no skills in GIS and advanced methodology' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["spatiotemporal simulation","KNIME","Workbench"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This presentation explores methodologies and establishes protocols for developing workbenches for spatial data science in research, teaching, and business applications.The objectives of this workbench are to provide:(1) An easy, efficient and customizable toolkit for spatial data analysis with newly added nodes,  (2) An integration of data, methodology, and applications for spatial data science, (3) Workflow-based case studies for teaching and research in spatial social science, (4) A training base for users with no skills in GIS and advanced methodology' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This presentation explores methodologies and establishes protocols for developing workbenches for spatial data science in research, teaching, and business applications.The objectives of this workbench are to provide:(1) An easy, efficient and customizable toolkit for spatial data analysis with newly added nodes,  (2) An integration of data, methodology, and applications for spatial data science, (3) Workflow-based case studies for teaching and research in spatial social science, (4) A training base for users with no skills in GIS and advanced methodology
spatiotemporal simulation; KNIME; Workbench