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Geospatial Analysis of Archaeological Sites, Water, and Early Agriculture in Ocampo, Tamaulipas, Mexico Brian King, GISP – MGIS candidate Dr. Larry Gorenflo.

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Presentation on theme: "Geospatial Analysis of Archaeological Sites, Water, and Early Agriculture in Ocampo, Tamaulipas, Mexico Brian King, GISP – MGIS candidate Dr. Larry Gorenflo."— Presentation transcript:

1 Geospatial Analysis of Archaeological Sites, Water, and Early Agriculture in Ocampo, Tamaulipas, Mexico Brian King, GISP – MGIS candidate Dr. Larry Gorenflo – Graduate Adviser May 7, 2013 Department of Geography Ocampo, Tamaulipas, Mexico

2 Brian King, GISP Overview Anticipated Results Proposed Methodology Study Area / Environment Goals and Objectives Problem Background Timeline / References Tamaulipas, Mexico

3 Background Brian King, GISP In the 1950s, Richard S. MacNeish excavated archaeological sites in a series of dry caves within the project area near the town of Ocampo. He discovered evidence for the local adoption of domesticated plants and the development of a mixed foraging-farming economy that persisted for millennia, before culminating in the establishment of settled farming villages. From 2005 to 2011, Kevin Hanselka returned to conduct survey and archaeological investigations within the same study area. The excavations have identified a cultural chronology covering 9,000 years of occupation, revealing an early economy of hunting and gathering present in the project area before slowly transitioning into low-level food production. Excavations have documented remains of domesticated squash, beans, maize, and gourds, along with a wide range of plants and animals obtained from hunting and gathering.

4 Problem Brian King, GISP To date, the spatial arrangement of archaeological sites within the study area and the effect of early agriculture on regional organization, are poorly understood. The effects of managing water resources, on the spatial organization of prehistoric cultures in the project area similarly are poorly understood. Extremely challenging mountainous terrain, with elevations ranging from 1,968-5,177 feet above sea level, make detailed field analyses challenging and GIS-based solutions particularly attractive. Few archaeologists have used a GIS to produce a hydrological model allowing for the direct examination of water-related issues important to agriculture, such as floodplains and irrigation potential.

5 Goals and Objective Goal Objective Brian King, GISP My project goal is to model the river valley floodplain, identify additional water sources located on hill sides, and investigate how these components of local hydrology might have influenced the geographical arrangement of prehistoric sites in the study area. The analysis will include an aspect analysis, least cost distance analysis to water, distance to water, distance to stream confluence, cost distance to stream confluence, slope, topographic variation, and a view shed analysis within the river valley in an attempt to make inferences about the spatial relationships of previously recorded archaeological sites documented in the project area.

6 Study Area Brian King, GISP Ocampo, Tamaulipas, Mexico

7 Environment Brian King, GISP Ocampo, Tamaulipas, Mexico 4659 FT 2035 FT Steep rugged terrain (travel by walking, burro or horseback) Tropical savanna climate (Humid) Dense Forest Vegetation Perennial and intermittent stream flow Sites Project Area

8 Precipitation Brian King, GISP 4659 FT 2035 FT Average annual precipitation is 700 millimeters (28-inches) Half of the rainfall occurs between May and September Short mild winters and long hot summers Exceptionally heavy rains from occasional cyclones influence overall precipitation amounts. Sites Project Area 18.913.922.326.878.5125.174.395.5173.170.920.518.3738.1 -0.744-0.547-0.878-1.055-3.091-4.925-2.925-3.76-6.815-2.791-0.807-0.72-29.059 Precipitation mm (Inches) Precipitation data for Ciudad Victoria, Tamaulipas, a city located north of the project area.

9 Software HEC-RAS HEC-HMS RAS-Mapper HEC-GeoRAS USACEESRI Proposed Methodology Brian King, GISP United States Army Corps of Engineers (USACE) Environmental Systems Research Institute (ESRI) ArcGIS 10.1 3D Analyst Spatial Analyst Modelbuilder

10 Proposed Methodology Brian King, GISP Instituto Nacional de Estadística y Geografía INEGI Stream Network Contours (10m) Precipitation data Temperature data Soils / Land use Data Geology Watersheds / Sub-Basins Vegetation Zones Orthoimagery (1m / 30m) DATA USGS Landsat 7 ETM+ data Pancromatic image 15m United States Geological Survey All data have been obtained

11 GIS Hydrological Floodplain Brian King, GISP The 30-Foot Contours (INEGI) Create 3D-Terrain / Raster Stream Centerline / Tributaries Soils / Precipitation / Landuse HEC-RAS / HEC-HMS / RAS-Mapper / ArcGIS / HEC-GeoRAS Floodplain

12 Landsat Analysis Brian King, GISP 4 Select four Landsat images from the same year representing a typical precipitation and temperature year 1 235 Create a 3 band composite image simulating a Landsat 4-3-2 combination. (Band 4 is a good band to identify land water) ArcGIS Spatial Analyst Supervised Classification Analysis Digitize training areas of 4-3-2 water pixels and documented water sources provided from ethnographic data. Overlay final source images and run Trend tool in ArcGIS to isolate those areas having extended supply of water at 3-month intervals.

13 Watershed Vegetation Geology Elevation Spatial Analysis Brian King, GISP Archaeological Sites (Centroid) Soils Land use Temperature Spatial Join tool used to combine archaeological Sites to their geomorphic location.

14 Water Dataset Raster Spatial Analysis Viewshed Topography Raster Soils / Vegetation Precipitation Slope (%) Aspect Spatial Analyst Tools Feature to raster tool Topography Raster Feature to raster tool Topo to Raster tool Topography Raster Brian King, GISP

15 Water Dataset Raster Spatial Analysis Viewshed Topography Raster Soils / Vegetation Precipitation Slope (%) Aspect Intersect each dataset With Archaeology Site Centroids Most Favorable Slope Aspect Site Elevation Soils / Vegetation Precipitation Viewshed Water Source Raster Output Variables Brian King, GISP

16 Spatial Analysis Reclass Suitability System Slope 1 2 3 Aspect 1 2 3 Site Elevation 1 2 3 Soils / Vegetation 1 2 3 Precipitation 1 2 3 Viewshed 1 2 3 Water Sources 1 2 3 (1) Most Favorable (2) Favorable (3) Least Favorable Brian King, GISP

17 Water Sources Spatial Analysis Viewshed Site Elevation Soils / Vegetation Precipitation Slope Aspect Final Cost Raster The weighted overlay tool will be used to calculate the weighted value for each cell, for each raster dataset. Each layer will be assigned a relative importance in percent to create a weighted ranking before these values are combined into a final cost surface raster. Brian King, GISP

18 Cost Distance Analysis Brian King, GISP The final cost surface raster will be imported into the Spatial Analyst cost distance tool to create a cost distance raster from archaeological sites to water sources. The cost distance tool creates a raster surface that is continuous to the defined project boundaries revealing the lowest collective cost from each cell to the nearest source, in this case water sources. It is important to point out that cost can be defined using a variety of variables, including time, level of energy expended. The Spatial Analyst cost path tool will be used to calculate the most efficient path from the site location to water sources. The cost path tool creates a raster that identifies the least-cost path or paths from a specific location to the closest defined cell using the cost raster surface.

19 Anticipated Results Brian King, GISP I expect that defining the floodplain will reveal potential areas having rich alluvial soils and terraces that can be difficult to identify in this rugged terrain. These areas have a high probability for buried cultural material. I believe the least cost distance analysis will show the relationship of site location to upland water sources and types of terrain. Archaeologists already know that farmers are planting successful crops on steeper terrain, suggesting that more research needs to be conducted on farming techniques and crop selection in relation to water resources. Future research in the area could include a hyperspectral analysis with high resolution imagery and Lidar acquisition to reveal in greater detail those areas having water pools at different elevations.

20 Timeline Brian King, GISP 10/27 Present Capstone Presentation to The Texas Archaeological Society Meetings in Del Rio, Texas May 2013 June 2013 July 2013 October 2013 06/12 Floodplain Analysis 06/19 Landsat Analysis 06/30 Geospatial Analysis 07/17 Draft Capstone Report 07/24 Revise Report 07/31 Submit Final Report 05/07 Peer Review 05/20 Revise Proposal 05/28 Begin GEOG596B

21 References Brian King, GISP Binford, Lewis R., 1980. Willow Smoke, Dogs Tails, Hunter-gatherer Settlement Systems. American Antiquity, Vol. 45, No. 1 (Jan., 1980), pp. 4-20. Dorshow, Wetherbee Bryan, 2012. Modeling agricultural potential in Chaco Canyon during the Bonito phase: a predictive geospatial approach. Journal of Archaeological Science, Volume 39, Issue 7, July 2012, Pages 2098–2115 Flannery, Kent V. (editor) 1976. The Early Mesoamerican Village. Academic Press, Inc., New York. Hanselka, J. Kevin 2010. Informal Planting of Squashes and Gourds by Rural Farmers in Southwestern Tamaulipas, Mexico, and Implications for the Local Adoption of Food Production in Prehistory. Journal of Ethnobiology 30(1):31-51. 2011. Prehistoric Plant Procurement, Food Production, and Land Use in Southwestern Tamaulipas, Mexico. PhD. Dissertation, Washington University, Saint Louis, Missouri. Kelly, Robert L. 1995 The Foraging Spectrum: Diversity in Hunter-Gatherer Lifeways. Smithsonian Institution Press, Washington, D.C.

22 References Brian King, GISP MacNeish, Richard S. 1956 Prehistoric Settlement Patterns on the Northeastern Periphery of Meso-America. In Prehistoric Settlement Patterns in the New World, edited by Gordon R. Willey, pp. 140-147.Viking Fund Publications in Anthropology, No. 23. Wenner Gren Foundation for Anthropological Research, Incorporated, New York. 1958 Preliminary Archaeological Investigations in the Sierra de Tamaulipas, Mexico. Transactions of the American Philosophical Society. New Series. Vol. 48, Part 6. The American Philosophical Society, Philadelphia. 1964 The Food-Gathering and Incipient Agriculture Stage of Prehistoric Middle America. In Natural Environment and Early Cultures, edited by R. C. West, pp. 413-426. Handbook of Middle American Indians, Vol. 1. University of Texas Press, Austin, Texas. Smith, Bruce D. 1997 Reconsidering the Ocampo Caves and the Era of Incipient Cultivation in Mesoamerica. American Antiquity 8:342-383. 1998a The Emergence of Agriculture. 2nd ed. Scientific American Library, New York. 1998b Between Foraging and Farming. Science 279:1651-1652. 2005 Documenting the Transition to Food Production along the Borderlands. In The Late Archaic Across the Borderlands: The Transition from Foraging to Farming, edited by Bradley J. Vierra, pp. 300-316. University of Texas Press, Austin.

23 References Brian King, GISP USACE 2013. HEC-GeoRAS: Features Retrieved on March 12, 2013 from 2013 HEC-HMS: Features Retrieved on March 12, 2013 from 2013 HEC-RAS:Features. Retrieved on March 12, 2013 from Weatherbase 2013 Ciudad Victoria, Tamaulipas Monthly – All Weather Averages. Retrieved on April 27, 2013 as%2C+Mexico&units.

24 Acknowledgements Dr. Larry J. Gorenflo Department of Landscape Architecture Pennsylvania State University Dr. J. Kevin Hanselka SWCA Environmental Consultants Austin, Texas Brian King, GISP Celine Finney and Anaïs King, my supportive wife and daughter.

25 Brian King, GISP Thank You QUESTIONS

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