AutoCarto Proceedings Papers 2018

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The Cartographic and Geographic Information Society is proud to present this permanent record of AutoCarto 2018, the 22nd International Research Symposium on Computer-based Cartography, Madison, Wisconsin, USA, May 22-24, 2018.

Scott Freundschuh, AutoCarto 2018 Conference Chair

Suggested citation (in APA format):
[Author Surname, First Initial. Second Initial]. (2018, May). [Conference paper title]. Paper presented at AutoCarto 2018, Madison, Wisconsin, USA. Retrieved from
http://cartogis.org/docs/proceedings/2018/AutoCarto-UCGIS-2018-Proceedings.pdf.

Asterisks denote papers published in Cartography and Geographic Information Science, Vol. 40, No. 4. These papers are accessible online from Taylor and Francis at https://tandfonline.com/toc/tcag20/46/1. All others can be accessed here: http://cartogis.org/docs/proceedings/2018/AutoCarto-UCGIS-2018-Proceedings.pdf.

* Spatiotemporal Modeling of Traffic Accident Using Network Kernel Density Estimation and Space Syntax Analysis: A Case Study in Dallas, Texas, USA by Benjamin Acker and May Yuan

Design-based approaches to identify causation in GIS education research by Ola Ahlqvist

* Active Symbolism: Towards a New Theoretical Paradigm for Statistical Cartography by Marc Armstrong

The Internet of Things and Fast Data Streams: Prospects for Geospatial Data Science in Emerging Information Ecosystems by Marc Armstrong, Shaowen Wang, and Zhe Zhang

EWN-KDF: A Knowledge Discovery Framework to Understand the Energy Water Nexus by Anne Berres, Rajasekar Karthik, Alexandre Sorokine, Philip Nugent, Melissa Allen, Ryan McManamay, Varun Chandola, Arshad Zaidi, and Jibonananda Sanyal

Analysis of the Adoption of Story Maps by Aileen Buckley and Kevin Butler

* A Crowdsourcing-Geocomputational Framework of Mobile Crowd Estimation by T. Edwin Chow

Understanding of Intra-city Electricity Consumption Patterns Through Settlement Characterization by Pranab K. Roy Chowdhury, Jeanette Weaver, Eric Weber, Dalton Lunga, St. Thomas LeDoux, Amy Rose, and Budhendra L. Bhaduri

Unmanned Aerial Vehicle Logistics Modeling and Performance: A Demonstration of Integrative Data Science by Kevin Curtin

A 3D spatial optimization problem for determining optimal locations for Bluetooth beacon placement by Brent Dell and May Yuan

Embracing visualization as a key element in computational movement analytics by Somayeh Dodge

Automatic Alignment of Geographic Features in Contemporary Vector Data and Georeferenced Historical Maps Using Reinforcement Learning by Weiwei Duan and Yao-Yi Chiang

Automatic Generation of Precisely Delineated Geographic Features from Georeferenced Historical Maps Using Deep Learning by Weiwei Duan, Yao-Yi Chiang, Craig A. Knoblock, Johannes H. Uhl, and Stefan Leyk

Optimizing Activity Locations in GIS using a Multi-Objective Trajectory Approach by Xin Feng, Shaohua Wang, Alan T. Murray, Yuanpei Cao, and Song Gao

Unmanned Aircraft Systems and the Atmospheric Boundary Layer: A New Frontier for Geospatial Data Science? by Amy Frazier and Benjamin Hemingway

Gerrymandering and Geospatial Analysis of Redistricting Plans by Lee Hachadoorian

Forecasting County-Level Maize Yield with Deep Learning and Satellite Remote Sensing by Yanghui Kang and Mutlu Özdoğan

* Geovisual text analytics for exploring public discourse on Twitter: A case study of immigration tweets before and after the January 27, 2017 Travel Ban by Caglar Koylu, Bryce Dietrich, and Ryan Larson

Area-Preserving Simplification of Polygon Features (research paper) by Barry Kronenfeld, Larry Stanislawski, Tyler Brockmeyer, and Barbara Buttenfield

GeoVisual Analytics for the Exploration of Complex Movement Patterns on Arterial Roads by Irma Kveladze and Niels Agerholm

Incorporating Changes in Multi-scale Databases by Dan Lee, Nobbir Ahmed, and Iffat Chowdhury

Viewshed Analysis for UAS Flight Planning by Samuel Levin and May Yuan

Using deep learning and Google Street View to quantify the shade provision of street trees in Boston, Massachusetts by Xiaojiang Li and Carlo Ratti

Geospatial Machine Learning: Predicting Accident-Prone Road Segments Using GIS and Data Mining by Xiao Li, Daniel Goldberg, Tracy Hammond, and Xingchen Chen

Deep leaning for geospatial big data analytics: Terrestrial ecological systems recognition and classification assessment by Qingmin Meng

Development of a GIS-Based Model to Examine Alternative Scenarios for Last-Mile Freight Delivery by Amy Moore

From Point Clouds to Tactile Maps: How Lidar and Photogrammetry Can Improve Maps for People with Visual Impairments by Thomas Pingel, Matthew Mendez, and Earle Isibue

Position Paper: Understanding the Analytical Affordances of Absence in Spatial Data Science by Anthony Robinson

MapStudy: An Open Source Survey Tool for Researching Interactive Web Maps by Robert Roth, Carl Sack, Meghan Kelly, Nick Lally, and Kristen Vincent

Aerial Imaging and Lidar Point Cloud Fusion for Low-Order Stream Identification by Ethan Shavers and Lawrence Stanislawski

Generalizing Linear Stream Features to Preserve Sinuosity for Analysis and Display: A Pilot Study in Multi-Scale Data Science by Lawrence Stanislawski, Barry Kronenfeld, Barbara Buttenfield, and Tyler Brockmeyer

Visualizing Sea Level Rise Induced Migration Using Hexagonal Grids by Hoda Tahami, Bo Zhao, and David Wrathall

Flyover Country: Mobil Visualization of Geoscience Data by Ross Thorn and Shane Loeffler

Exploring the potential of deep learning for settlement symbol extraction from historical map documents by Johannes Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, and Craig Knoblock

The Evolution of Cartography in the Digital Age: From Digitizing Vertices to Intelligent Maps by E. Lynn Usery and Dalia Varanka

Maps as Graphs: An Implementation for Cartographic Retrieval of Linked Geographical Data by Dalia Varanka, William Baumer, and Logan Powell

Web-Based Demo to Show Ontology Matches by Nancy Wiegand

MAPINS: An intra-city PM2.5 modeling web application using a scalable data management and analysis system integrating public multi-source data by Xin Yu, Yuanbin Cheng, Yijun Lin, Fan Pan, Yao-Yi Chiang, and Dimitris Stripelis

Identifying crime patterns in Mexico using geo-social mining and clustering by Roberto Zagal-Flores, Miguel-Felix Mata-Rivera, Christophe Claramunt, and Edgar Armando Catalán-Salgado

Community resilience in Maricopa County, Arizona, USA: the analysis of indoor heat-related death and urban thermal environment by Qunshan Zhao, Heather Fischer, Wei Luo, and Elizabeth Wentz

Deep Convolutional Neural Networks for Map Type Classification by Xiran Zhou and Jun Liu

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