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Collections of articles, links, and other material from around the web, relevant to software design and engineering.
I've been tracking my listening habits with last.fm since I was in high school. As I'm about to turn 30, it's nice to be able to look back on almost my entire adult life – to see how I've changed and how my tastes have changed with me.
Tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to
build better tools.
Do I need to know the precise polygonal geometries of Los Angeles and the University of Southern California to assert that the latter is within the former? No. My mind contains no such precise geometric model of points and lines, yet I know that USC is in Los Angeles. When humans reason with the real world, they focus on its objects, relations, and processes—rather than starting with geometry—because these are the keys to understanding and explaining the real world. Our GIS tools, however, usually do the opposite. Built from the geometry-up around the legacy logic of traditional cartography (geometries and layers), most GIS tools today are restricted by that legacy’s limited ability to model objects, relations, and processes. A representational tension thus exists in GIScience between being a geometric information science versus an ontological, relational, and processual information science.
The teleology of tool-building suggests that the real value lies in the end use of the tool, rather than in its origins
One square mile of different cities' street networks, held at the same scale to compare the urban form and grain.
Software often feels inevitable because its backstory is often invisible. We click a download link, run an installer, and suddenly have a new tool to use. Yet this conceals years of human decisions, experiences, and constraints shaping software outcomes that are in no way pre-destined.