Journey To The Center Of The Earth Dual Audio Eng 15
Debora Mccaffery
GIS Day is an international celebration of geographic information systems (GIS) technology. The event provides an opportunity for users of geospatial data and tools to build knowledge, share their work, and explore the benefits of GIS in their communities. Since its establishment in 1999, GIS Day events have been organized by nonprofit organizations, universities, schools, public libraries, and government agencies at all levels.
Held annually on the third Wednesday of November, this year GIS Day is officially today. Happy GIS Day! CDVS has participated in Duke GIS Day activities on campus in past years, but with COVID-19, we had to find other ways to celebrate.
To mark GIS Day this year, CDVS is launching an ArcGIS StoryMaps showcase! We invite any students, faculty, and staff to submit a story map to highlight their mapping and GIS work. Send us an email at ask...@duke.edu if you would like to add yours to the collection. We are keen to showcase the variety of GIS projects happening across Duke, and we will add contributions to the collection as we receive them. Our first entry is a story map created by Kerry Rork as part of a project for undergraduate students that used digital mapping to study the English Civil Wars.
One of the attractive features of Tableau for visualization is that it can produce maps in addition to standard charts and graphs. While Tableau is far from being a full-fledged GIS application, it continues to expand its mapping capabilities, making it a useful option to show where something is located or to show how indicators are spatially distributed.
Tableau is quite limited for displaying multiple data layers: Tableau wants to display one layer, so you need to use join techniques to connect multiple tables or layers together. You can join data tables based on common attribute values, but to overlay two geographic layers (stack them), you must spatially join one layer to one other layer based on their common location.
Displaying paths on a map requires a special data structure: In order for tabular data with coordinate values (latitude/longitude) to display as lines on a map, you need to include a field that indicates drawing order. Tableau constructs the lines like connect-the-dots, each row of data being a dot, and the drawing order indicating how the dots are connected.
Plot points: Tableau works really well for plotting coordinate data (Longitude (X) and Latitude (Y) values) as points. The coordinates must have values in decimal degrees with negative longitudes being east of Greenwich and negative latitudes being south of the equator.
Draw lines from tabular data: Tableau can display lines if your data is structured right, as discussed and illustrated previously, with a field for drawing order. You could also connect to a spatial line file, such as a shapefile or a GeoJSON file.
Developing interactive maps that incorporate text, images, video, and audio can be time-consuming and require specialized technical skills. Fortunately, at Duke we have access to Esri Story Maps, a web-based tool that helps you quickly design engaging narratives around your maps, no coding required.
When you are ready to get started, you can contact one of our GIS specialists (by emailing ask...@duke.edu) to schedule an appointment. We are always happy to answer questions and provide recommendations specific to your project. We also offer workshops to guide you through the process of building a basic online map, making it visually effective, and combining it with other materials to publish a Story Map.
This six-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science.
An official announcement with links to registration is forthcoming. Feel free to subscribe to the Rfun or DVS-Announce lists. Or look to the DVS Workshop page for official registration links as soon as they are available.
We presented a similar version of this workshop series last fall and recorded each session whenever possible. You can stream past workshops and engage with the shareable data sets at your-own-pace (see the Past Workshop resources links, above.) Alternatively, all the past workshop resource links are presented in one listicle: Rfun recap.
Visualize, manage, and map your data in our Fall 2017 Workshop Series. Our workshops are designed for researchers who are new to data driven research as well as those looking to expand skills with new methods and tools. With workshops exploring data visualization, digital mapping, data management, R, and Stata, the series offers a wide range of different data tools and techniques. This fall, we are extending our partnership with the Graduate School and offering several workshops in our data management series for RCR credit (please see course descriptions for further details).
Data and Visualization Services is happy to announce its Fall 2015 Workshop Series. With a range of workshops covering basic data skills to data visualization, we have a wide range of courses for different interests and skill levels.. New (and redesigned) workshops include:
DateOpenRefine: Data Mining and Transformations, Text NormalizationSep 9Basic Data Cleaning and Analysis for Data TablesSep 15Introduction to ArcGISSep 16Easy Interactive Charts and Maps with TableauSep 18Introduction to StataSep 22Historical GISSep 23Advanced Excel for Data ProjectsSep 28Easy Interactive Charts and Maps with TableauSep 29Analysis with RSep 30ArcGIS OnlineOct 1Web Scraping and Gathering Data from WebsitesOct 2Advanced Excel for Data ProjectsOct 6Basic Data Cleaning and Analysis for Data TablesOct 7Introduction to StataOct 14Introduction to ArcGISOct 15OpenRefine: Data Mining and Transformations, Text NormalizationOct 20Analysis with ROct 20
Data and Visualization Services is happy to announce our new Data and Visualization Lab in Duke Libraries new Edge research space. Located on the first floor of the Bostock Library, the Brandaleone Family Lab for Data and Visualization Services offers a dedicated space for researchers working on data driven projects.
Our lab space features twelve high end workstations with dual monitors with the latest software for data visualization, digital mapping, statistics, and qualitative research. All of the machines have two dedicated displays to encourage collaborative work and data consultations. Additionally, all twelve machines have a dedicated power port located conveniently under the edge of the table for powering a laptop or usb powered device.
One of the limitations of computer mapping technology is that it is new. There is little historical imagery and data available as a result, although this has started to change. The integration of paper and imaged maps into computer mapping technology is possible, and this tutorial will walk through the process of georeferencing.
This tutorial will georeference a map of Durham County from 1955. In addition to the scanned map, we will use two current layers as referents: the Durham roads layer, and the Durham county boundary. Note that because the layers are more recent than the historical map, many roads will not exist in the image. Georeferencing historical imagery requires familiarity with geographic characteristics and changes.
The next step will relocate the image to the center of your current window and will expand the image only to the point where the entire image is visible. In this case, Durham County is taller than it is wide, so vertical space will be maximized.
First, it is a good idea to zoom, if necessary, so that your current view roughly matches where the image will be place. In this case, zooming to the full extent of the Durham county boundary will accomplish this.
ArcGIS georeferences images through the addition of control points. The control points tool (to the right) operates through two mouse clicks: the first mouse click selects a point on the image, and the second mouse click pins that point to a location within a data layer.
Once you click a second time, the map will move to conform to the new control points. Control points work in combination, so as you add new control points, your image will (ideally) match more closely to your referents.
After about 15 control points, we can compare the image to the included shapefiles. As you can see, if we assume that major roads have not changed, the green lines correspond well to the image, while the county boundary does to a lesser extent.
I work for a college and know of many courses for designers to learn to craft accessible pages, and for authors to create accessible PDFs. Academia is full of conferences, seminars and training materials on accessibility.
But it's like saying that churches sponsor Bible study sessions, or that gyms offer aerobics classes. People who want to create accessible documents can readily find the information. In academia, they find it more fruitful to preach to the choir.
Take a PDF file. In my job I review hundreds of them. If you save it as text you might get a file where each word is on its own line so the document is simply a single column of words. Another PDF might be an image only and result in no exported text. A third PDF will have all the words run together without spaces, a text file consisting of an amorphous mass of characters. A forth PDF might contain all the text, but no paragraphs. And a fifth PDF could be beautifully structured with paragraphs, headings and links. And some PDFS are protected, which sometimes, but not always, interferes with access.
I'm a fairly advanced Windows user, but I have no idea how many software packages can create PDF files and how many variations on this theme actually exist. I was, for example, quite surprised when my $100 Epson printer could not only create PDFs, but could create reasonably accessible ones with the simple push of a button. Yet our history professors regularly turn out completely inaccessible handouts, possibly using their camera-phones as impromptu copy machines.
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