From the post: The colorized images you see here come from the NYPL’s large collection of late 19th century Japanese photography, taken by photographers like the Italian-British Felice Beato and his Japanese student Kimbei, who “assisted Beato in the hand-coloring of photographs until 1863,” then “set up his own large and flourishing studio in Yokohama…

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From the post: I’ve recently published version 0.3.0 of my USAboundaries R package to CRAN. USAboundaries provides access to spatial data for U.S. counties, states, cities, congressional districts, and zip codes. Of course you can easily get contemporary boundaries from lots of places, but this package lets you specify dates and get the locations for…

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From the resource: This is the last in a series of posts which constitute a “lit review” of sorts, documenting the range of methods scholars are using to compute the distribution of topics over time. The strategies I am considering are: Average of topic weights per year (First Post) Smoothing or regression analysis (Second Post)…

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From the resource: This is the third in a series of posts which constitute a “lit review” of sorts, documenting the range of methods scholars are using to compute the distribution of topics over time. Graphs of topic prevalence over time are some of the most ubiquitous in digital humanities discussions of topic modeling. They…

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From the resource: This is the second in a series of posts which constitute a “lit review” of sorts, documenting the range of methods scholars are using to compute the distribution of topics over time. Graphs of topic prevalence over time are some of the most ubiquitous in digital humanities discussions of topic modeling. They…

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If we can’t see the ethical stakes (+ power relations) in digital archives we are going to do violence. Do better. Born of frustration and still very much a work in progress (gotta get the kids to school)…I have much more to include and I welcome your suggestions via twitter @profwernimont #justDigitalArchives Readings Archives So…

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From the resource: tidycensus is an R package that allows users to interface with the US Census Bureau’s decennial Census and five-year American Community APIs and return tidyverse-ready data frames, optionally with simple feature geometry included…tidycensus is designed to help R users get Census data that is pre-prepared for exploration within the tidyverse, and optionally…

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