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You searched for +publisher:"Texas A&M University" +contributor:("Smith, Cecilia"). Showing records 1 – 3 of 3 total matches.

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Texas A&M University

1. Franca, Raphael. A Geospatial Analysis of Pre-Columbian Florida Log Boats.

Degree: MS, Maritime Archaeology and Conservation, 2017, Texas A&M University

Log boats or dugout canoes are the earliest known watercraft in the global archaeological record. In pre-Columbian Florida, dugout canoes were used as early as 6,000 years ago. To date, more than 400 log boats have been recorded from archaeological contexts in Florida. Despite their antiquity and clear importance to indigenous populations, variation in their morphology is not well understood. Established typologies of log boat morphology in pre-Columbian Florida are examined here through geo-statistical analyses. Grouping and cluster analyses were implemented within ESRI ArcGIS in order to build a better understanding of variation in log boat size, form, and location of use. Potential relations were created using available characteristics of individual log boat finds and tested using cluster and outlier analyses. Though some correlations were found, characteristic data remains too incomplete for further interpretation. Advisors/Committee Members: Castro, Filipe (advisor), Smith, Cecilia (committee member), Carlson, David (committee member).

Subjects/Keywords: Dug out canoe; log boat; indigenous maritime heritage; pre-Columbian Florida; maritime adaptation

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APA (6th Edition):

Franca, R. (2017). A Geospatial Analysis of Pre-Columbian Florida Log Boats. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165993

Chicago Manual of Style (16th Edition):

Franca, Raphael. “A Geospatial Analysis of Pre-Columbian Florida Log Boats.” 2017. Masters Thesis, Texas A&M University. Accessed January 22, 2020. http://hdl.handle.net/1969.1/165993.

MLA Handbook (7th Edition):

Franca, Raphael. “A Geospatial Analysis of Pre-Columbian Florida Log Boats.” 2017. Web. 22 Jan 2020.

Vancouver:

Franca R. A Geospatial Analysis of Pre-Columbian Florida Log Boats. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1969.1/165993.

Council of Science Editors:

Franca R. A Geospatial Analysis of Pre-Columbian Florida Log Boats. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165993


Texas A&M University

2. Rooney, Kelsey Ann. The Power of Location: Predictive Modeling and GIS.

Degree: MS, Maritime Archaeology and Conservation, 2017, Texas A&M University

In the past two decades, nautical archaeology has turned its attention to identifying and locating the ships used during the Atlantic Slave Trade. While the archival evidence exists, only a small number of these ships has been found, and even less have been excavated. Spatial analysis tools like GIS can be a powerful tool to help further this research. This thesis is an exploration of how predictive modeling and GIS could make the identification of slave wrecks plausible, and an overview of the ethical issues that surround the use of GIS within the context of the African Diaspora. With more representative sampling of ships, archaeologists can continue analyzing the slave trade not only from the archival documents of the owners, but also from the artifacts of those on board. Locating and identifying wrecks that are suitable for excavation will add invaluable data to the understanding of this journey; yet, numerous ethical issues must be taken into consideration. As this data deals with a crucial element of the African Diaspora, the larger anthropological community must involve the present descendants of these captives. If GIS is used in a larger theoretical context, it should also actively engage with present-day community stakeholders. Advisors/Committee Members: Vieira de Castro, Luis Filipe (advisor), Smith, Cecilia (committee member), Crisman, Kevin J (committee member).

Subjects/Keywords: GIS; Atlantic Slave Trade; Diaspora; predictive modeling; Nautical Archaeology; maritime archaeology; underwater archaeology; shipwrecks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rooney, K. A. (2017). The Power of Location: Predictive Modeling and GIS. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165812

Chicago Manual of Style (16th Edition):

Rooney, Kelsey Ann. “The Power of Location: Predictive Modeling and GIS.” 2017. Masters Thesis, Texas A&M University. Accessed January 22, 2020. http://hdl.handle.net/1969.1/165812.

MLA Handbook (7th Edition):

Rooney, Kelsey Ann. “The Power of Location: Predictive Modeling and GIS.” 2017. Web. 22 Jan 2020.

Vancouver:

Rooney KA. The Power of Location: Predictive Modeling and GIS. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1969.1/165812.

Council of Science Editors:

Rooney KA. The Power of Location: Predictive Modeling and GIS. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165812

3. Cohen, Chelsea Marin. Raising Port Royal: A Geospatial Reconstruction of the 1692 City Through Integrated GIS and 3D Modeling.

Degree: MS, Maritime Archaeology and Conservation, 2017, Texas A&M University

In 1692, the British port of Port Royal, Jamaica was largely lost to the sea after an earthquake shook the city down to the seabed, devastating the town and leaving the coastline of the peninsula permanently changed. Prior to its sinking, Port Royal was a town of some 6,500 people, a hub of shipping and commerce for the British West Indies, and a stronghold for British privateering in the Caribbean Sea. After the earthquake, the peninsula on which Port Royal had been positioned was dramatically shrunk, and the major residential and economic centers of the city were lost to the water. This project endeavors to apply the archaeological information collected during excavations of the submerged city to a larger geospatial analysis of the area prior to sinking. The first portion of this project looks at using historical cartographic and archival data, along with contemporary bathymetry and satellite images to reconstruct the coast of peninsula supporting Port Royal in ESRI?s ArcGIS software. The second portion of this project focuses on the buildings excavated between 1981-1990, creating 3D digital models of the five buildings within the reconstruction of the Port Royal shoreline, and integrating them into the GIS model for comparative analysis. This is, to the researcher?s knowledge, the first attempt to virtually reconstruct the structures of Port Royal based on archival and excavation data, and will allow for an interactive mechanism through which one can explore the structures of the excavated section of Port Royal in a scalable, geographically realistic way. Advisors/Committee Members: Castro, Filipe (advisor), Hamilton, Donny (committee member), Smith, Cecilia (committee member).

Subjects/Keywords: GIS; Port Royal; viewshed; skyline; 3D modeling; archaeology; Jamaica; Caribbean architecture

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cohen, C. M. (2017). Raising Port Royal: A Geospatial Reconstruction of the 1692 City Through Integrated GIS and 3D Modeling. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165983

Chicago Manual of Style (16th Edition):

Cohen, Chelsea Marin. “Raising Port Royal: A Geospatial Reconstruction of the 1692 City Through Integrated GIS and 3D Modeling.” 2017. Masters Thesis, Texas A&M University. Accessed January 22, 2020. http://hdl.handle.net/1969.1/165983.

MLA Handbook (7th Edition):

Cohen, Chelsea Marin. “Raising Port Royal: A Geospatial Reconstruction of the 1692 City Through Integrated GIS and 3D Modeling.” 2017. Web. 22 Jan 2020.

Vancouver:

Cohen CM. Raising Port Royal: A Geospatial Reconstruction of the 1692 City Through Integrated GIS and 3D Modeling. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1969.1/165983.

Council of Science Editors:

Cohen CM. Raising Port Royal: A Geospatial Reconstruction of the 1692 City Through Integrated GIS and 3D Modeling. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165983

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