Data GIS Blog
Ever have trouble conceptualizing your project workflow? ModelBuilder allows you to plan your project before you run any tools. When using ModelBuilder in ESRI’s ArcMap, you create a workflow of your project by adding the data and tools you need. To open ModelBuilder, click the ModelBuilder icon () in the Standard Toolbar.
Key Points Before You Build Your Model
ModelBuilder can only be created and saved in a toolbox. In order to create your model, you first need to create a new toolbox in the Toolboxes, MyToolboxes folders in ArcCatalog. Once you have a new toolbox, you will need to create a new Model; to do this, right click your newly created toolbox and select New, then Model. When you wish to open an existing ModelBuilder, find your toolbox, right click your Model and select Edit.
In order to find the results of your model and the data created in the middle of your project workflow (also known as intermediate data), you will need to direct the data to any workspace or a Scratch Geodatabase. To set your data results to a Scratch Geodatabase in ModelBuilder, click Model, then Model Properties. A dialog box will open and you will want to select the Environments tab, Workspace category, and check Scratch Workspace. Before closing the dialog box, select “Values” and navigate to your workspace or your geodatabase.
Building and Running a Model
To create a model, click the Add Data or Tool button (). Navigate to the SystemToolboxes, find the tool you wish to run, and add it to your model. Double click the tool within the Model and its parameters will open. Fill out the appropriate fields for the tool and select OK.
When the tools or variables are ready for processing, they will be colored blue, green, or yellow. Blue variables are inputs, yellow variables are tools, and green variables are outputs. When there is an error or the parameters have not been chosen, the variables will have no color.
Once you have your model built, click the Run icon () to run the model. Depending on the data and the amount of tools you run, the Model can take seconds or minutes to run. You can also run one tool at a time; to do this, right click the tool and select “Run.” When the Model is done running, the tools and outputs will have a gray background. To find the results of your model, navigate to the Scratch Workspace you have set and add the shapefile or table to ArcMap or right-click the output variable before running the model and select “Add to Display.”
The model above demonstrates how to take nationwide county data, North Carolina landmark data and North Carolina major roads data and find landmarks in Wake County that are within 1 mile of major roads. The first tool in the model (Select Layer by Attribute tool) extracts Wake County from the nationwide counties polygon layer.
Once Wake County is extracted to a new layer, the North Carolina landmarks layer is clipped to the Wake County layer using the Clip tool. The result of this tool creates a landmarks point layer in Wake County. The third tool uses the Buffer tool on the primary roads layer in North Carolina. Within the Buffer tool parameters, a distance of 1 mile is chosen and a new polygon layer is created.
Finally, the Wake County landmarks layer is intersected with the buffered major roads layer to create a final output using the Interect tool. Using ModelBuilder has many benefits: you document the steps you used to create your project and you can easily rerun the tool with different inputs after the model is built. ModelBuilder allows users to easily determine if and where problems in the workflow are. When there is an error in the workflow, a “Failed to Execute” message will appear and tell users which tool was unable to execute. ModelBuilder also lets users easily change parameters. In the model used above, you could change the Expression in the Select Layer by Attribute tool from ‘Wake’ to ‘Durham’ and find landmarks within 1 mile of major roads in Durham County.
What is Open Data?
Finding data can be challenging. Organizations and government agencies can share their data with the public using ESRI’s ArcGIS Open Data, a centralized spatial data clearinghouse. Since its inception last year, over 1,600 organizations have provided more than 22,000 open datasets to the public. Open Data allows users to find and download data in different formats, including shapefiles, spreadsheets, and KML documents, as well as APIs (GeoJSON or Esri GeoServices) to call the data into your own application. It also lets you create various types of charts.
How to Find and Use Data
Open Data allows consumers to type in a geographic area or a topic of interest in a single search box. Once you’ve found data that appears to be what you were looking for, you can use the data for GIS purposes or use a table to create charts and graphs. If you are looking for GIS data, you can preview the spatial data before downloading by clicking the “Open in ArcGIS” icon. This takes users to ArcGIS Online where they can create choropleth maps and interact with the attribute table. Users interested in tabular data can filter it and create various types of charts. If more analysis of the data is necessary, you can download it by clicking the “Download Dataset” icon; you are able to download the entire dataset or the filtered dataset you’ve been working with.
The Source and Metadata links below the “About” heading provide information about the data. In-depth information such as descriptions, attributes, and how the data was collected are provided in these links. Below the name of the dataset there are three tabs: “Details,” “Table,” and “Charts.” Under the “Details” tab there are three sections, the Description, Dataset Attributes, and Related Datasets sections. The Dataset Attributes section outlines the fields found within the dataset and provides field type information, while the Related Datasets section provides links to other datasets that have similar geographies or topics to the dataset you’ve chosen. In the “Table” tab, you can view and filter the entire table in the dataset and the “Charts” tab allows you to create different charts.
To obtain the most updated dataset or other updated articles related to the dataset, users should subscribe to the dataset they are interested in. To subscribe, copy the link provided into an RSS Reader. For specific data source questions, feel free to ask the Data and Visualization Department at email@example.com.
Our third year of the Duke Student Data Visualization Contest has come and gone, and we had another amazing group of submissions this year. The 19 visualizations submitted covered a very broad range of subject matter and visualization styles. Especially notable this year was the increase in use of graphic design software like Illustrator, Photoshop, and Inkscape to customize the design of the submissions. The winners and other submissions to the contest will soon be featured on the Duke Data Visualization Flickr Gallery.
As in the past, the submissions were judged on the basis of five criteria: insightfulness, broad appeal, aesthetics, technical merit, and novelty. The three winning submissions this year exemplify all of these and tell rich stories about three very different types of research projects. The winners will be honored at a public reception on Friday, April 10, from 2:00 p.m. to 3:00 p.m, in the Brandaleone Lab for Data and Visualization Services (in the Edge). They will each receive an Amazon gift card, and a poster version of the projects will be displayed in the lab. We are very grateful to Duke University Libraries and the Sanford School of Public Policy for sponsoring this year’s contest.First place:
Social Circles of Primary Caregivers / Tina Chen
Crystal Structure of Human Proliferating Cell Nuclear Antigen (PCNA) for in silico Drug Screen / Yuqian Shi
Deep and Extensive Impacts to Watershed Shape and Structure from Mountaintop Mining in West Virginia / Matthew Ross
Please join us in celebrating the outstanding work of these students, as well as the closing of the Places & Spaces: Mapping Science exhibit, on April 10 in the Edge.
Duke Libraries are happy to host the American Statistical Association’s Data Fest Competition the weekend of March 20-22nd. In its fourth year at Duke, DataFest brings teams of students from across the Research Triangle to compete in a weekend long competition that stresses data cleaning, analytics, and visualization skills. The Edge provides a central location for the competition with facilities designed for collaborative, data driven research.
While the deadline for forming DataFest teams has past, Data and Visualization Services and Duke’s Department of Statistical Sciences are happy to offer another opportunity to participate in DataFest. Starting Monday, March 16th we are offering four workshops on data analytics and visualization in the four days leading up to the DataFest event. All workshops are open to the public, but we strongly encourage early registration to ensure a seat. Please come join us as we get ready to celebrate ASA DataFest 2015.DataFest Workshop Series
Monday, March 16th, 6:00-8:00 PM – Introduction to R
Tuesday, March 17th, 1:30-3:00 PM – Easy Interactive Charts and Maps with Tableau
Wednesday, March 18th, 6:00-8:00 PM – Data Munging with R and dplyr
Thursday, March 19th, 7:00-9:00 PM – Visualization in d3