In connection with our courses and research the Center for Spatial Research develops tutorials on tools in critical mapping and data visualization. Tutorials are crafted to provide the technical expertise necessary for critically-minded spatial research across a broad range of disciplines. This growing library is designed to be a resource for students, faculty, and practitioners engaging in spatial research at Columbia University and beyond.

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In doing this, we will set up the layers needed for the first tutorial (Tutorial 1)., exploring the QGIS environment and a handful of its options. In the process, we will start and save a map project, add vector- and raster-based spatial data to the map project, access the Attribute Table of a vector layer, change the symbology of a vector layer using qualitative attributes, and learn the basics of working with map projections.","format":null,"safe_value":"This tutorial will introduce you to the QGIS interface, exploring a environment and a handful of its options. In doing this, we will set up the layers needed for the first tutorial (Tutorial 1)., exploring the QGIS environment and a handful of its options. 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Making new data from historic maps is a fairly common, if laborious, practice. In many cases, the data we are interested in is not digitized, so we have to translate it ourselves. This process can be compared to digitizing books handwritten in script by typing them. It is time-intensitve, but sometimes, it is the only way to get the data we need in a format a computer can read. Through this tutorial, you will explore some of the on-screen hand digitizing tools available in QGIS and use them to digitize trees, paths and other features from a georeferenced map. In essence, you will be converting raster spatial data into vector-based features.","format":null,"safe_value":"In this exercise, you will create your own dataset by outlining the trees that were represented in the \u0026quot;1902 map or plan of that part of the Borough of the Bronx, City of New York, lying easterly of the Bronx River\u0026quot; that was georeferenced in Tutorial 2. Making new data from historic maps is a fairly common, if laborious, practice. In many cases, the data we are interested in is not digitized, so we have to translate it ourselves. This process can be compared to digitizing books handwritten in script by typing them. It is time-intensitve, but sometimes, it is the only way to get the data we need in a format a computer can read. Through this tutorial, you will explore some of the on-screen hand digitizing tools available in QGIS and use them to digitize trees, paths and other features from a georeferenced map. 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This allows for the kind of interactivity we have come to expect from web maps, and it also allows us to make local calculations about the user\u0026#039;s position in relation to data. The theme of this tutorial will be a classic element of NYC life.\r\n"}]},"field_dashboard_sort_date":{"und":[{"value":"2019-12-03 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_initiative":[],"field_sequence_course_":{"und":[{"value":"0"}]},"field_associated_course_v2_":{"und":[{"nid":"436"}]},"path":{"pathauto":"1"},"name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","initiative":"","sort_date":"December, 2019","methods":"Web Mapping","assoc_course":{"title":"Mapping for Architecture, Urbanism and the Humanities\u00a0","path":"\/courses\/mapping-architecture-urbanism-and-humanities-2017"},"assoc_course_title":"Mapping for Architecture, Urbanism and the Humanities\u00a0","software":"Mapbox GL, HTML, CSS, Javascript","image_uri":"public:\/\/08_webmap2_heatmap_style.png","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/08_webmap2_heatmap_style.png?itok=ST_mShT4","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/08_webmap2_heatmap_style.png?itok=ualgmqBc","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/08_webmap2_heatmap_style.png?itok=TY2mQOj3"}},{"nid":"495","access":true,"node":{"vid":"495","uid":"39","title":"Web Mapping 3: GPS Drawings","log":"","status":"1","comment":"0","promote":"0","sticky":"0","nid":"495","type":"tutorial","language":"und","created":"1575412198","changed":"1575412198","tnid":"0","translate":"0","revision_timestamp":"1575412198","revision_uid":"39","field_software_used":{"und":[{"value":"Mapbox GL, HTML, CSS, Javascript","format":null,"safe_value":"Mapbox GL, HTML, CSS, Javascript"}]},"field_related_skills":[],"field_authors":{"und":[{"nid":"406"}]},"field_tutorial_image":{"und":[{"fid":"1023","uid":"39","filename":"09_webmap_3_save.png","uri":"public:\/\/09_webmap_3_save.png","filemime":"image\/png","filesize":"81719","status":"1","timestamp":"1575412198","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":512,"width":572},"height":"512","width":"572","alt":"","title":""}]},"field_tutorial_link":{"und":[{"url":"https:\/\/github.com\/CenterForSpatialResearch\/mapping_architecture_urbanism_humanities\/blob\/master\/10_WebMapping3.md","title":null,"attributes":[]}]},"field_associated_course":{"und":[{"nid":"348"}]},"field_method_tags":{"und":[{"tid":"108"}]},"field_prerequiste_tutorial":[],"field_intro_text":{"und":[{"value":"In this tutorial, we will use the sensing capacity of our devices to make GPS drawings, an activity with a rich precedent including You Are Here by CSR\u0027s Laura Kurgan, Amsterdam Realtime by Esther Polak and Jeroen Kee, and drawings by Jeremy Wood. Contemporary devices and Mapbox\u0027s API make it straightforward for us to get similar results to what was technically very challenging at the time these works were made.\r\n","format":null,"safe_value":"In this tutorial, we will use the sensing capacity of our devices to make GPS drawings, an activity with a rich precedent including You Are Here by CSR\u0026#039;s Laura Kurgan, Amsterdam Realtime by Esther Polak and Jeroen Kee, and drawings by Jeremy Wood. Contemporary devices and Mapbox\u0026#039;s API make it straightforward for us to get similar results to what was technically very challenging at the time these works were made.\r\n"}]},"field_dashboard_sort_date":{"und":[{"value":"2019-12-03 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_initiative":[],"field_sequence_course_":{"und":[{"value":"0"}]},"field_associated_course_v2_":{"und":[{"nid":"436"}]},"path":{"pathauto":"1"},"name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","initiative":"","sort_date":"December, 2019","methods":"Web Mapping","assoc_course":{"title":"Mapping for Architecture, Urbanism and the Humanities\u00a0","path":"\/courses\/mapping-architecture-urbanism-and-humanities-2017"},"assoc_course_title":"Mapping for Architecture, Urbanism and the Humanities\u00a0","software":"Mapbox GL, HTML, CSS, Javascript","image_uri":"public:\/\/09_webmap_3_save.png","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/09_webmap_3_save.png?itok=Gsg6R-TW","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/09_webmap_3_save.png?itok=UqUGfZiY","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/09_webmap_3_save.png?itok=dHsMjFuR"}}]
Tutorials
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