Day/date : Saturday and Sunday, 04-05 July 2026
Time : 08.30 -18.00 WIB
Place : Universitas Lampung (Day 1) and ITERA (Day 2)
Training fee : Rp. 1,250,000.- (one million two hundred fifty thousand Rupiah) per person.
Brief description of the training:
Public policies in infrastructure, regional development, and urban planning increasingly generate spillover effects that extend beyond administrative boundaries. Conventional econometric models often overlook these spatial interdependencies, resulting in incomplete policy assessment. Spatial econometrics offers a structured framework to understand how regional outcomes are interconnected and how development impacts diffuse across space.
This two-day advanced training equips participants with practical tools for spatially informed policy analysis in the era of big data. The workshop begins with Exploratory Spatial Data Analysis (ESDA) using OpenGeoDa, enabling participants to detect spatial clusters, regional disparities, and spillover patterns. These diagnostics provide a foundation for robust model specification and evidence-based planning.
Building on this, the training introduces spatial regression with impact decomposition, spatial causal inference under spillovers, network-based spatial dependence, and emerging approaches integrating machine learning with spatial analysis. Participants will explore how large administrative, infrastructure, and geospatial datasets can enhance policy evaluation. Through applied exercises and real-world cases, the workshop strengthens participants’ capacity to produce credible, data-driven insights for regional governance and strategic planning.
Instructor:
- Prof. Ibnu Syabri (Institut Teknologi Sumatera)
- Dr. Arivina Ratih (Universitas Lampung)
Workshop Outline:
- Introduction to Spatial Policy Analysis
The role of spatial interdependence in regional development, infrastructure planning, and public policy evaluation. - Exploratory Spatial Data Analysis (ESDA) using OpenGeoDa – Part I
Global spatial autocorrelation (Moran’s I), spatial weights matrices, and interpretation of regional clustering. - Exploratory Spatial Data Analysis (ESDA) using OpenGeoDa – Part II
Local indicators of spatial association (LISA), cluster and outlier detection, and diagnostic use of ESDA for model specification. - Spatial Regression and Impact Decomposition
Spatial lag, spatial error, and spatial Durbin models; interpretation of direct and indirect (spillover) effects in policy contexts. - Modeling Network Spillovers in Regional and Infrastructure Policy
Understanding how policy impacts diffuse through transport, trade, and connectivity networks beyond geographic adjacency. - Integrating Big Data and Machine Learning in Spatial Analysis
Using large administrative and geospatial datasets, spatial cross-validation concepts, and interpretable machine learning for policy insights. - Translating Spatial Evidence into Policy Recommendations
Communicating spillover effects, uncertainty, and regional implications for planning and governance.
Language of communication:
The course will be mostly conducted in Bahasa Indonesia.
Note:
- It is essential for the participants to bring your owned PCs with Open Geoda installed in it. https://geodacenter.github.io/download/
- We limit class size for effectiveness of training delivery. Participants will be selected if number of applications exceeds the optimum class size. Hence please register as soon as possible.
- To register please fill out this form. Email it to susi.sarumpaet (at) feb.unila.ac.id and cc it to devanto (at) ub.ac.id.
- Our training staff will inform you of your registration status and if seats are still available for the training.
- Please note that there is a registration fee, which does not include the cost of traveling and accommodation to participate in this training as well as to attend the IRSA international conference.
- Once your application is accepted, you need to pay the training fee as much as Rp. 1,250,000.- (one million two hundred fifty thousand Rupiah) per person for this training.
Any question regarding this training can be sent to: susi.sarumpaet (at) feb.unila.ac.id. For more information, see: https://lampung2026.irsa.or.id.