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SGSUP Graduate Student Workshop: Multiscale Geographically Weighted Regression 

ASU.SGSUP
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About the workshop: The overall goal of the workshop is to introduce participants to multiscale spatial modeling and engage in a detailed discussion of the scale of geographic processes and their measurement. Multiscale Geographically Weighted Regression (MGWR) is a cutting-edge modeling technique which integrates both nomothetic and ideographic approaches in geography and allows a more nuanced interpretation of place and space. Participants will be introduced to the field of local modeling and the opportunities it presents to measure the scale at which geographic processes operate. Participants will also complete hands-on training in the use of MGWR in research, and will be encouraged to bring their own datasets for analysis.
About the presenter: Mehak Sachdeva, PhD student, ASU's School of Geographical Sciences and Urban Planning

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16 июл 2024

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Комментарии : 4   
@juliodossantospereira1089
@juliodossantospereira1089 3 месяца назад
amazing, thanks!!
@marufahmad6905
@marufahmad6905 2 месяца назад
Thank you, madam, It's wonderful training on MGWR software. Could you share this example dataset and Python coding sheet? Because in my case, for MGWR model not working.
@vavilalahariprasad2242
@vavilalahariprasad2242 Год назад
can i get the link for this colab notebook?
@YounesAlmansoob
@YounesAlmansoob 3 года назад
الف شكر
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