New
Spatial Econometrics and Geostatistics
A focused 15-hour live training on spatial econometrics and geo statistics for economists, environmental scientists, policymakers, and data analysts. Participants will learn to analyze spatial climate data, model spatial dependence, and evaluate environmental policies using advanced methods in R and QGIS. A certificate of completion is awarded at the end of the training.
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Introduction to Spatial Econometrics and Geo statistics
A structured training on the use of spatial econometric models to analyze Geo-data, and satellite images in QGIS and R.
Duration: Approx. 15 Hours
Training Mode: Normal group (7-10 trainees), small group (2-5 trainees), and one-to-one
Platform: online (Zoom)
Extra benefits:
- Certified certificate after completing the training
- 10% trainee discount on future bookings
- Trainees become eligible to submit their papers at the MSR working paper series (SSRN and RePEc indexed).
Training content is systematic and structured as follows:
- Spatial data foundations:spatial data types, CRS, shapefiles, and basic mapping in R and QGIS
- Spatial weights (W matrices):contiguity, distance-based weights, creation and visualization in R (spdep) and QGIS.
- Preparation of geo-referenced data (using Excel, QGIS, and R)
- Creation of spatial weights matrices
- Measuring spatial autocorrelation (Moran’s I, Geary's C, Getis-Ord G)
- Spatial regressions with cross-sectional and panel data (SLX, SAR, SDM, SEM, SDEM, SAC, and GNS models)
- Presentation and interpretation of results
Meet The
Moderator
Sven is an economist specializing in spatial and regional economic analysis, with research spanning natural disasters, development, and institutional economics. Building on his academic work at Philipps-Universität Marburg, he applies spatial econometric methods to understand how geographic factors and regional shocks shape economic outcomes. Sven has published on topics such as disaster impacts, regional resilience, and cross-country institutional dynamics, and he brings extensive experience in quantitative research, teaching, and policy-oriented economic analysis.
About Spatial Econometrics
Spatial econometrics is a branch of econometrics that analyzes data in which observations are linked by geography or distance, recognizing that economic, social, and environmental outcomes in one location often depend on what happens in neighboring areas. It incorporates spatial dependence (spillover effects) and spatial heterogeneity (location-specific differences) directly into statistical models, allowing researchers to capture patterns that traditional econometrics misses. In the real world, spatial econometrics is widely used to study housing prices influenced by nearby property values, regional unemployment clusters, crime hotspots, spread of diseases, traffic congestion, environmental pollution dispersion, agricultural productivity, and the distribution of public services. Governments, policymakers, researchers, and businesses rely on spatial econometric analysis to make better location-based decisions, design targeted interventions, and understand how shocks or policies in one region ripple across others.
Learning by Researching TM
Reviews
"Experienced Trainers"
Gabriel Arrieta
Catholic University of Peru, Peru
Excellent training
"Mind-Blowing Learning opportunity"
George Chanda
Petroluem Limited, Zambia
After finishing the first module, I decided to to do all modules because the first one has opened my mind, because here in Zambia there is no university or college where they offer as full program they way you offer it, it only comes as a course to those who are doing economics.
Training Calendar
2026
June /Normal Group
Start your Learning Journey Today!
Free Consultancy
+49 0 17686387586
info@ms-researchhub.com
+49 0 15225886301
Training Mode and Registration
Online and Live
Group Training
- Experience live interactions with expert instructors.
- Gain free access to all course materials, slides, and codes.
- Learn and apply concepts through real-world data examples.
- Receive a certificate of completion upon attending all live course sessions.
- Choose your preferred intake: April or October. The training typically occurs on weekends to accommodate busy schedules.
Standard / Student
900 EUR / 610 EUR
Online and Live
Private Training
- Experience personalized, one-to-one interactions with an expert instructor.
- Gain complimentary access to all course materials, slides, and codes.
- Tailor your learning objectives to align with your research and project requirements.
- Learn and apply concepts using your preferred real-world data examples.
- Receive a certificate of completion after finishing the course
- Enjoy flexibility in organizing the start and pace of the course.
2250 EUR
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