Tutorials & Notes
Hands-on tutorials on tools for spatial and economic analysis — R, Python, STATA, GeoDa, QGIS — with videos and code on GitHub, plus conceptual notes on the ideas behind the methods: the how and the why, side by side.
Tutorials
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In spatial econometrics, before we run the model, we need to compute descriptive statistics, as in the non-spatial econometrics approach. In spatial econometrics, there is an extension beyond describing data (mean, maximum, minimum, and standard deviation). It is called Exploratory Spatial Data Analysis (ESDA) and uses map visualisation to identify patterns. Also, we need to…
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Postingan ini merupakan postingan awal untuk seri analisis Spasial dengan GeoDa. Pada tulisan kali ini, saya ingin membagikan tautan bagaimana mendownload GeoDa, khususnya untuk pengguna Windows. Softaware GeoDa merupakan software analisis spasial yang menggunakan user interface (mengutamakan penggunaan mouse untuk menjalankan softwarenya). Hal ini berbeda dengan Stata, R, atau Python yang mengutamakan coding. Dengan demikian,…
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Shapefiles in spatial analysis are super important when we are using QGIS. Shapefiles are like the building blocks of your maps in QGIS. They’re particular files that hold information about real places and things, but in a way that computers can understand. When you bring a shapefile into QGIS, it’s like adding a new layer…
Notes
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Notes from SEEPS Camp 2026 in Takashima, Shiga. A small town that knows itself in detail — and the question it sent home with me for Indonesia’s 80,000 villages and 514 districts.
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Spatial econometrics is a branch of econometrics that focuses on analysing data with a spatial dimension, especially when observations are linked to specific regions or locations. In many economic, social and political studies, data are collected over time for different areas, such as provinces, districts, or countries. This data is referred to as panel data…


