Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons.
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.
I'm a dual-degree MCP City Planning / MS Transportation Engineering student. My background is in physics, and I'm interested in understanding and modelling urban and regional systems, including their morphology/form, interactions, and fundamental dynamics, using complex systems and computational methods. I'm also interested in the emergence and evolution of social complexity, urbanism, and regional networks of cities.
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.
I’m an interdisciplinary data scientist, with a background in Middle Eastern languages (Hebrew, Arabic, and historical languages like Sumerian, Akkadian, Assyrian and Babylonian). I’ve worked in Syria, Lebanon, Israel, and Turkey with archaeological sites and museums. My technical skills include: translation and data storytelling, data forensics (3D imaging, mapping, modeling), computational linguistics (CTA, NLP, OCR), and network analysis (SNA). My roles on campus include: Research Training Manager of the Computational Social Science Training Program; Postdoc Lecturer...
Proximity analysis is one of the cornerstones of spatial analysis. It refers to the ways in which we use spatial methods to ask "what is happening near here". It is at the heart of the Tobler's first law of geography which I paraphrase as "Everything is related but near things are more related." In practice, proximity analysis...