Social and Behavioral Sciences Commons^™

Ancient Lowland Maya Neighborhoods: Average Nearest Neighbor Analysis And Kernel Density Models, Environments, And Urban Scale, Amy E. Thompson, John P. Walden, Adrian Z. Chase, Scott R. Hutson, Damien Marken, Bernadette Cap, Eric Fries, M. Rodrigo Guzman Piedrasanta, Timothy S. Hare, Sherman W. Horn Iii, George J. Micheletti, Shane M. Montgomery, Jessica Munson, Heather Richards-Rissetto, Kyle Shaw-Müller, Traci Ardren, Jaime J. Awe, M. Kathryn Brown, Michael Callaghan, Claire E. Ebert, Anabel Ford, Rafael A. Guerra, Julie A. Hoggarth, Brigitte Kovacevich, John M. Morris, Holley Moyes, Terry G. Powis, Jason Yaeger, Brett A. Houk, Keith M. Prufer, Arlen F. Chase, Diane Z. Chase

Department of Anthropology: Faculty Publications

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) …

A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali

Department of Anthropology: Faculty Publications

Airborne light detection and ranging (LIDAR) systems allow archaeologists to capture 3D data of anthropogenic landscapes with a level of precision that permits the identification of archaeological sites in difficult to reach and inaccessible regions. These benefits have come with a deluge of LIDAR data that requires significant and costly manual labor to interpret and analyze. In order to address this challenge, researchers have explored the use of state-of-the-art automated object recognition algorithms from the field of deep learning with success. This previous research, however, has been limited to the exploration of deep learning processes that work with only 2D …

A Catch 22 Of 3d Data Sustainability: Lessons In 3d Archaeological Data Management & Accessibility, Heather Richards-Rissetto, Jennifer Von Schwerin

Department of Anthropology: Faculty Publications

Archaeologists can now collect an inordinate amount of 3D data. But are these 3D data sustainable? Are they being managed to make them accessible? The MayaArch3D Project researched and addressed these questions by applying best practices to build four prototype tools to store, manage, visualize, and analyze multi-resolution, geo-referenced 3D models in a web-based environment. While the technical aspects of these tools have been published, this position paper addresses a catch 22 that we, as archaeologists, encounter in the field of 3D archaeology – one that formed the initial impetus for the MayaArch3D Project: that is, while the quantity of …

An Iterative 3d Gis Analysis Of The Role Of Visibility In Ancient Maya Landscapes: A Case Study From Copan, Honduras, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

For several decades, Geographic Information Systems (GISs) have held center stage in archaeological studies of ancient landscapes. Recently, three-dimensional (3D) technologies such as airborne LiDAR and aerial photogrammetry are allowing us to acquire inordinate amounts of georeferenced 3D data to locate, map, and visualize archaeological sites within their surrounding landscapes. GIS offers locational precision, data overlay, and complex spatial analysis. Three-dimensionality adds a ground-based perspective lacking in two-dimensional GIS maps to provide archaeologists a sense of mass and space more closely attuned with human perception. This article uses comparative and iterative approaches ‘tacking back and forth’ between GIS and 3D …

Past Meets Future: Combining Gis, 3d Technologies, And Legacy Data To Reanalyze Ceramics At Copan, Honduras, Stephanie Sterling, Heather Richards-Rissetto, René Viel

UCARE Research Products

The archaeological site of Copán—a UNESCO World Heritage Site in Honduras—was a primary center for cultural and economic exchange in the Maya world from the fifth to ninth centuries. Our research investigates the sociopolitical climate of the city immediately preceding this collapse. This poster presents the results of a pilot study intended to evaluate the potential of using a combination of digital technologies and legacy data to reanalyze a subset of diagnostic ceramics from select sites outside of Copan’s urban core. Our methods involved:

(1) Applying photogrammetry to generate 3D models for approximately 30 potentially temporally-diagnostic ceramic types

(2) Digitizing, …

3d Tool Evaluation And Workflow For An Ecological Approach To Visualizing Ancient Socio-Environmental Landscapes: A Case Study From Copan, Honduras, Heather Richards-Rissetto, Shona Sanford-Long, Jack Kerby-Miller

Department of Anthropology: Faculty Publications

Architectural reconstructions are the centerpieces of ancient landscape visualization. When present, vegetation is relegated to the background, resulting in underutilized plant data—an integral data source for archaeological interpretation—thus limiting the capacity to take advantage of 3D visualization for studying ancient socio-environmental dynamics. Our long-term objective is to develop methods of 3D landscape visualization that have value for examining changes in land use and settlement patterns. To begin to work toward this objective, we have (1) identified 3D tools and techniques for vegetation modeling and landscape visualization, (2) evaluated the pros and cons of these tools, (3) investigated biological and ecological …

Maritime Alpine Cairns In Southeast Alaska: A Multidisciplinary Exploratory Study, William J. Hunt Jr., Ralph J. Hartley, Bruce Mccune, Nijmah Ali, Thomas F. Thornton

Department of Anthropology: Faculty Publications

This report describes the goals, data recovery methods, data analysis, and conclusions of a pilot project “A Multidisciplinary Exploratory Study of Alpine Cairns, Baranof Island, Southeast Alaska,” funded by the National Science Foundation under Project No. 1230132. The project brought together experts in the disciplines of archaeology (University of Nebraska-Lincoln), lichenology (Oregon State University), and Tlingit oral history (Oxford University) to address questions regarding artificial prehistoric, high altitude cairns. Data were collected in 2013 and 2014. Pedestrian archaeological inventory recorded 50 cairns at 5 sites. Archaeological data includes cairn dimensions, GPS positions, still photographic images, and video documentation. Four cairns …

The Mayaarch3d Project: A 3d Webgis For Analyzing Ancient Architecture And Landscapes, Jennifer Von Schwerin, Heather Richards-Rissetto, Fabio Remondino, Giorgio Agugario, Gabrio Girardi

Department of Anthropology: Faculty Publications

There is a need in the humanities for a 3D WebGIS with analytical tools that allow researchers to analyze 3D models linked to spatially referenced data. Geographic Information Systems (GIS) allow for complex spatial analysis of 2.5D data. For example, they offer bird’s eye views of landscapes with extruded building footprints, but one cannot ‘get on the ground’ and interact with true 3D models from a pedestrian perspective. Meanwhile, 3D models and virtual environments visualize data in 3D space, but analytical tools are simple rotation or lighting effects. The MayaArch3D Project is developing a 3D WebGIS—called QueryArch3D—to allow these two …

Geospatial Virtual Heritage: A Gesture-Based 3d Gis To Engage The Public With Ancient Maya Archaeology, Heather Richards-Rissetto, Jim Robertsson, Jennifer Von Schwerin, Giorgio Agugario, Fabio Remondino, Gabrio Girardi

Department of Anthropology: Faculty Publications

This paper presents our research to develop a gesture-based 3D GIS system to engage the public in cultural heritage. It compares two types of interaction—device-based vs. natural interaction— and summarizes the beta-testing results of a 3D GIS tool for archaeology, called QueryArch3D, in which participants used device-based interaction (i.e. mouse and keyboard). It follows with a description of the gesture-based system—that we developed in response to these beta-tests. The system uses QueryArch3D and Microsoft’s Kinect to enable people use body movements (in lieu of keyboard or mouse) to navigate a virtual reality landscape, query 3D objects, and call up photos, …

Kinect And 3d Gis In Archaeology, Heather Richards-Rissetto, Fabio Remondino, Jim Robersson, Jennifer Von Schwerin, Giorgio Agugiaro, Gabrio Girardi

Department of Anthropology: Faculty Publications

This paper explores the potential of using Microsoft's Kinect to create a low-cost and portable system to virtually navigate, through a prototype 3D GIS, the digitally reconstructed ancient Maya city and UNESCO World Heritage Site of Copan in Honduras. The 3D GIS, named QueryArch3D, was developed as part of the MayaArch3D project (http://mayaarch3d.unm.edu), which explores the possibilities of integrating databases and 3D digital tools for research and teaching on ancient architectures and landscapes. The developed system, based on the Flexible Action and Articulated Skeleton Toolkit (FAAST), controls in a remote and touchless mode the movements in the 3D environment in …