• The work on the historical development plan case Vladimir city (Russia)

      I am a russian cartographer Alexander Pronin and I am going to tell you how we together with my colleague Nikita Slavin, a map of the age of the houses of the city of Vladimir was created.

      Data


      For the layer with buildings I used a free map from OpenStreetMap. This layer contains the address, which is divided into columns, names of the objects and numbers of storeys. I collect data on the year of construction, address, name of the object and photos from several sources.

      The first one is my project владимирдом.рф It’s a plot that I created to show the residents of my hometown how our city was built up. In this case I took the year of construction data from the website of the Ministry of Housing and Communal Services, for kindergartens and schools — from their official websites. A lot of information was sent also by site users. The map only shows the year of construction.

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    • How to write the home address right?

        How Tax Service, OpenStreetMap, and InterSystems IRIS
        could help developers get clean addresses


        image
        Pieter Brueghel the Younger, Paying the Tax (The Tax Collector), 1640

        In my previous article, we just skimmed the surface of objects. Let's continue our reconnaissance. Today's topic is a tough one. It's not quite BIG DATA, but it's still the data not easy to work with: we're talking about fairly large amounts of data. It won't all fit into RAM at once, and some of it won't even fit on the drive (not due to lack of space, but because there's a lot of junk). The name of our subject is FIAS DB: the Federal Information Address System database — the databases of addresses in Russia. The archive is 5.5 GB. And it's a compressed XML file. After extraction, it will be a full 53 GB (set aside 110 GB for extraction). And when you start to parse and convert it, that 110 GB won't be enough. There won't be enough RAM either.
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