Improving ArcGIS mapping workflows with Adobe’s Creative Cloud ApplicationsClint Loveman, ESRI
Sarah Bell, ESRI We understand that many cartographers use GIS applications together with Adobe products, for improved designs. We want to share some background on why map exports currently don’t work the way you may expect. In addition, we’ll share some future concepts we hope will help you with these interoperability workflows.
http://surveys2.esri.com/s3/creative-cloudDrupalized Web MapsTim Stallmann, Savas LabsDrupal, a widely-used open-source CMS, can be a great choice to build map-centered web apps. In a rollercoaster 15 minutes, we'll: blitz through some of the mapping packages for Drupal, build a simple web map app using Drupal + Leaflet, talk about what you get "for free" by using Drupal (and why not to use it), and show off some projects we've built in Drupal, including a Civil Rights history map.
Planning for Automated Labeling of U.S. Routes with Multiple Shields and NamesCynthia A. Brewer, Penn State GeographyElaine M. Guidero, Penn State Geography Kristin A.Fishburn, USGS National Geospatial Technical Operations CenterWe are working toward fully automating labeling of USGS topographic mapping, both US Topo 1:24,000 quadrangle PDFs and cached scales in The National Map Viewer. This presentation solicits opinions and guidance from the NACIS community on how to best handle U.S. roads with multiple labels: multiple numbers in shields of various forms (interstate, state route, U.S. route, county routes) plus words as names. In addition, one road segment may have multiple route numbers within one category. Multiple shields for one road segment may be sprinkled along the line in an intermixed manner, enlarged to enclose multiple numbers, shingled, sequenced, offset, or ignored. Our goal is to arrive at an innovative solution that then guides improvements to labeling software programming.
Cartography Driven Data CollectionMamata Akella, National Park Service/Colorado State UniversityWhether for print or web, as cartographers, we strive to make maps that are both beautiful and informative. To make a map, we need data. To make a multi-scale map, we need data that can support a variety of scales and geographies.
The majority of datasets available for map making are not collected with cartography in mind. The result is maps where every place is equal and visually the same. Intricacies of local knowledge, design considerations for urban vs. rural, and other important map details are lost.
Over the past two years, NPMap has been developing a data collection system called Places. Information from Places is used in a variety of data-driven products - including our cartographic ones. This talk covers how we are infusing multi-scale and web cartography into our data at the time of collection, enabling us to improve our maps of national parks.
http://javisantana.github.io/cartodblocks/#a3fb1786688232cd1e45
