Grant Snitker

Biographic Data

ID4053528
NAMEGrant Snitker
GIVEN NAMESGrant
FAMILY NAMESnitker
SIGNATURESNITKER G
AFFILIATIONSNew Mexico Consortium
ORCID0000-0003-3548-2241
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS23
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX3

  • Using Simulated Training Data to Locate Archaeological Sites with Machine Learning

    Open AccessKatherine Peck, Claudine Gravel-Miguel et al.ARTICLEAdvances in Archaeological Practice2026

    Archaeologists have demonstrated the value of deep learning models for detecting archaeological objects in lidar data. As landscape-level projects become the norm, archaeological data derived from deep learning predictions can be integrated into these initiatives through coupled natural-cultural landscapes planning. However, the paucity of archaeological training datasets limits the application of deep learning models to relatively common and wel…

  • Semantic Segmentation of Archaeological Features on Public Lands

    Open AccessClaudine Gravel-Miguel, Grant Snitker et al.ARTICLEAdvances in Archaeological Practice2025References: 12

    The logistics, costs, and capacity needed to complete extensive archaeological pedestrian surveys to inventory cultural resources present challenges to public land managers. To address these issues, we developed a workflow combining lidar-derived imagery and deep learning (DL) models tailored for cultural resource management (CRM) programs on public lands. It combines Python scripts that fine-tune models to recognize archaeological features in li…

  • The Emergence and Evolution of Charleston, South Carolina’s (U.S.A.) Colonial Economy

    Open AccessE J Reitz, Carla S Hadden et al.ARTICLEHistorical Archaeology2024

  • A multi-method approach with machine learning to evaluating the distribution and intensity of prehistoric land use in Eastern Iberia

    Open AccessWendy Cegielski, Grant Snitker et al.ARTICLEQuaternary International2023

    The present study seeks to better understand the coupling of social and biophysical systems during the late Pleistocene and Holocene, a period characterized by changing interglacial conditions as well as human population expansion and intensified ecosystem management. The approach consists of a combination of patch-based archaeological survey methods, sediment column sampling for paleoenvironmental data, geospatial analysis, and machine learning …

  • ArchaeoSRP

    Open AccessSean Bergin, Grant SnitkerARTICLEAdvances in Archaeological Practice2023References: 11

    For much of its history, archaeological research has relied on site-specific projects, regional comparisons, and theory building from case studies. However, recent research themes concerning the emergence of complex social-ecological systems and long-term land-use legacies require a new approach to archaeological data. Large-scale syntheses of archaeological data provide an effective way forward to address these new research themes. In more conci…

  • Detecting historic tar kilns and tar production sites using high-resolution, aerial LiDAR-derived digital elevation models

    Open AccessGrant Snitker, Jason D Moser et al.ARTICLEJournal of Archaeological Science…2022References: 13

  • Modern analogs for understanding pollen-vegetation dynamics in a Mediterranean mosaic landscape (Balearic Islands, Western Mediterranean)

    Open AccessGabriel Servera-Vives, Maurici Mus Amézquita et al.ARTICLEThe Holocene2022Cited by: 2References: 10

    This paper presents the study of modern pollen analogs from the Balearic Islands. While similar studies have been largely applied to mainland areas, research focused on modern vegetation dynamics on Mediterranean islands remains very rare. In this research, we combine vegetation surveys, pollen analysis and multivariate statistics to understand landscape composition. The main objectives of are: (1) to examine pollen-vegetation relationships in re…

  • A Landscape Perspective on Climate-Driven Risks to Food Security

    Open AccessColleen Strawhacker, Grant Snitker et al.ARTICLEAmerican Antiquity2020Cited by: 3References: 27

    Spatially and temporally unpredictable rainfall patterns presented food production challenges to small-scale agricultural communities, requiring multiple risk-mitigating strategies to increase food security. Although site-based investigations of the relationship between climate and agricultural production offer insights into how individual communities may have created long-term adaptations to manage risk, the inherent spatial variability of clima…

  • The Charcoal Quantification Tool (CharTool)

    Open AccessGrant SnitkerARTICLEEthnobiology Letters2020Cited by: 6References: 2

    Sedimentary charcoal analysis is increasingly used in archaeological and paleoecological research to examine human-environmental relationships at multiple scales. The recent availability of low-cost digital microscopes and imaging software has resulted in the rapid adoption of digital image analysis in charcoal studies. However, most published studies include only minimal accounts of software configurations or utilize proprietary image analysis p…

  • Identifying natural and anthropogenic drivers of prehistoric fire regimes through simulated charcoal records

    Open AccessGrant SnitkerARTICLEJournal of Archaeological Science2018Cited by: 7References: 16

  • Patch-based survey methods for studying prehistoric human land-use in agriculturally modified landscapes

    Open AccessGrant Snitker, Agustín Diez Castillo et al.ARTICLEQuaternary International2018Cited by: 5References: 7