Geographic Information System (GIS) for Quantitative Spatial Data Analysis workshop

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Felix Emeka Anyiam

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Apr 8, 2024, 2:43:36 AMApr 8
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We are delighted to share that applications for this year's workshop have now opened.   This will be the fourth edition of the workshop, which has attracted thousands of registrations every year from across the world. The workshop will focus on applications related to the study of economic development, but the tools covered will be applicable in many contexts and regions.

The workshop is free of charge, and this year's edition is supported by the Sui Foundation, an independent organisation committed to help future generations of developers and business leaders leverage the power of blockchain and decentralised computing.

Due to the expected high volume of registrations, we would encourage an early application.

We hope you might be able to join us on this occasion and do encourage you to share it with your networks. If you have any questions, please contact us at wibdre...@london.edu.

Best wishes,
The Wheeler Institute team.

 
 
 

GIS for Quantitative Spatial Data Analysis workshop series
Tuesday 7 May 2024 – Thursday 23 May 2024

The Wheeler Institute for Business and Development at London Business School (LBS) is offering a virtual workshop on GIS methods for quantitative spatial data analysis, delivered across three weeks in May.

We are seeking doctoral students, early career academics, and researchers with an interest in quantitative spatial data analysis. The workshop is also well-suited for professionals in both public and private organisations.

The workshop will provide an overview of geospatial data and work through case studies that demonstrate the use of Python for spatial data analysis and QGIS for spatial data visualization. Participants can expect to gain familiarity with various open-source software used in spatial data analysis: Anaconda (Python and Jupyter), QGIS and Google Earth Engine. 

Please register your details below as soon as possible to be considered. Participation will be subject to your experience and suitability.

 
 

Workshop convening team

  • Giorgio Chiovelli, Assistant Professor of Economics, University of Montevideo
  • Sebastian Hohmann, Economist and Data Scientist, Credit Suisse
  • Tanner Regan, Assistant Professor of Economics and International Affairs, George Washington University

Support from the Sui Foundation

The Sui Foundation is committed to help future generations of developers and business leaders leverage the power of  blockchain and decentralised computing. To learn more about the Sui Foundation’s gift to London Business School and the Wheeler Institute please read here.

 
 
 
 

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Wheeler Institute for Business and Development at London Business School

 


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Felix Emeka Anyiam (MPH,MScPH,DataSc.)

Research & Data Scientist

Centre for Health & Development | University of Port Harcourt, Nigeria (https://www.uniport.edu.ng/)

Ph.D Fellow, Durban University of Technology, Durban, South Africa: https://www.dut.ac.za/

Member, the PLOS ONE Editorial Board: https://journals.plos.org/plosone/static/editorial-board

Member, the Telehealth and Medicine Today Editorial Board

Member, Statistics Without Borders/American Statistical Association: https://www.statisticswithoutborders.org/

Member, RDA COVID-19 Working Group: https://www.rd-alliance.org/node/68704/members

Certified in: Digital and Computational Demography (Max Planck IDR, Germany), Global Health (Barcelona Institute of Public Health), Scholarly Communications (FORCE11, USA), Grant Writing (Gothenburg, Sweden), Advanced Bio-statistical Methods (Brown University, USA; Moi Kenya), STI/HIV Research (Washington, USA), Data Science (Trieste, Italy)

Expert grant reviewer/evaluator: Association of Commonwealth Universities (ACU), Research Data Alliance (RDA)

+2348064995462
felix....@uniport.edu.ng
http://orcid.org/0000-0003-2774-7406
Initial Lead, CODATA Connect [https://codata.org/initiatives/data-skills/codata-connect/members/], AuthorAID Stewards Team [https://www.authoraid.info/en/about/authoraid-team/]

"
To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of." -Ronald A. Fisher

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