Mapping the Landscape for Archaeological Detection, Preservation, and Interpretation: A Case Study in High Resolution Location Modeling from the Blue Mountains of Northeastern Oregon

Archaeological location modeling (ALM) is an important tool in most survey strategies, and has contributed substantially to economizing efforts to locate and characterize the archaeological record. The increasing availability of high resolution (\u3c3m) airborne light detection and ranging (lidar) data has the potential to refine the application and ultimately the role of ALM. This research tests the precision and accuracy gained by incorporating lidar derived data into an ALM. The site records and other environmental data used in this study were all generated over the last four decades by the resource specialists of the Malheur National Forest. The Weights-of-Evidence (WofE) probability method (Bonham-Carter 1994) was used to produce two ALMs; one based on a 10m digital elevation model (DEM) created from satellite imaging, and the second from a 3m resolution lidar derived DEM. Independent variables (e.g., slope, aspect, distance to water, etc.) commonly used in ALM were largely replaced by index variables (e.g., slope position classification, topographic wetness index, etc.). The final models were classified into areas of high, medium, and low archaeological potential, then cross-validated against a reserved random dataset. Models were then compared using the Kvamme gain statistic and site to area frequency ratio. The 3m model demonstrated a significant improvement over the results obtained from the 10m model and the current probability model used in the study area. A number of factors including model resolution, statistical methodology, and the character of the independent and dependent variables all contributed to the increase in precision and accuracy. The incremental improvement in modeling efficiency demonstrated here will create time and cost saving in the management and preservation of cultural resources, and ultimately contribute to a better understanding of patterns of past human land use

Towards a concept for a Planetary Science Data Library based on a Spatial Data Infrastructure Model

International audienc

Gene content evolution in the arthropods

Arthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods. Using 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality, and chemoperception. These analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity

Choosing a genome browser for a Model Organism Database: surveying the Maize community

As the B73 maize genome sequencing project neared completion, MaizeGDB began to integrate a graphical genome browser with its existing web interface and database. To ensure that maize researchers would optimally benefit from the potential addition of a genome browser to the existing MaizeGDB resource, personnel at MaizeGDB surveyed researchers’ needs. Collected data indicate that existing genome browsers for maize were inadequate and suggest implementation of a browser with quick interface and intuitive tools would meet most researchers’ needs. Here, we document the survey’s outcomes, review functionalities of available genome browser software platforms and offer our rationale for choosing the GBrowse software suite for MaizeGDB. Because the genome as represented within the MaizeGDB Genome Browser is tied to detailed phenotypic data, molecular marker information, available stocks, etc., the MaizeGDB Genome Browser represents a novel mechanism by which the researchers can leverage maize sequence information toward crop improvement directly

Towards a Planetary Spatial Data Infrastructure

Planetary science is the study of planets, moons, irregular bodies such as asteroids and the processes that create and modify them. Like terrestrial sciences, planetary science research is heavily dependent on collecting, processing and archiving large quantities of spatial data to support a range of activities. To address the complexity of storing, discovering, accessing, and utilizing spatial data, the terrestrial research community has developed conceptual Spatial Data Infrastructure (SDI) models and cyberinfrastructures. The needs that these systems seek to address for terrestrial spatial data users are similar to the needs of the planetary science community: spatial data should just work for the non-spatial expert. Here we discuss a path towards a Planetary Spatial Data Infrastructure (PSDI) solution that fulfills this primary need. We first explore the linkage between SDI models and cyberinfrastructures, then describe the gaps in current PSDI concepts, and discuss the overlap between terrestrial SDIs and a new, conceptual PSDI that best serves the needs of the planetary science community

Status and future developments in planetary cartography and mapping

Planetary cartography does not only provide an extensive basis for supporting planning activities in planetary exploration, e.g., landing-site selection, orbital observations, traverse planning, but it also supports mission conduct by, e.g., observation tracking and hazard avoidance mapping. It also provides the scientifi c and technical basis to create science products after successful termination of a planetary mission by helping to distill data into maps. After a mission's lifetime, experiment and eventually higher-level data such as mosaics and digital terrain models (DTMs) are stored in archives, and eventually converted into maps and higher-level data products, to form a basis for research and for new scientifi c and engineering studies. The complexity of such tasks increases with every new dataset that has been put on the stack of data sources. In the same way as the complexity of autonomous probes increases, tools that support these challenges also require new levels of sophistication. In planetary science, cartography and mapping share a history dating back to the roots of telescopic space exploration and are now facing new technological and organizational challenges with the rise of new missions, new global initiatives and organizations, and opening research markets. The focus of this contribution is to summarize recent activities in planetary cartography and to highlighting current issues the community is facing to identify future opportunities in this fi eld. By this we would like to invite cartographers/researchers to join this community and to start thinking about how to jointly solve some of these challenges