Use of GIS in Forensic Archaeology to Search Clandestine Graves in Uruguay

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Matías López Batista ◽  
Sofía Rodríguez López ◽  
Annika Fieguth Batista
Keyword(s):  
Case Studies ◽  
Search Strategies ◽  
Geospatial Data ◽  
Forensic Archaeology ◽  
Clandestine Graves ◽  
Investigation Process ◽  
Available Resources

In the context of the search of detainee disappeared from the dictatorship occurred in Uruguay, forensic archaeology uses GIS as an auxiliary tool which allows to create, edit, visualize, store, analyse and publish geospatial data and information related to the investigation process. The tools of GIS are described in this article to show the results and information obtained which are going to be useful in the analytic processes leading to the design of new search strategies and archaeological intervention according to the available resources for this context. Two case studies are presented with the purpose to show the use of QGIS as a result of the three main areas of work: preliminary, fieldwork and laboratory. QGIS is presented as one of the most versatile, dynamic and accessible tool to investigate the search of detainee disappeared in Uruguay.

scholarly journals Geospatial Information Relevant to the Flood Protection Available on The Mainstream Web

2014 ◽  
Vol 22 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Tomáš Kliment ◽  
Linda Gálová ◽  
Renata Ďuračiová ◽  
Róbert Fencík ◽  
Marcel Kliment
Keyword(s):  
Geospatial Data ◽  
Flood Protection ◽  
Geospatial Information ◽  
Descriptive Information ◽  
Crucial Component ◽  
Open Geospatial Consortium ◽  
Pilot Implementation ◽  
The Web ◽  
Available Resources

Abstract Flood protection is one of several disciplines where geospatial data is very important and is a crucial component. Its management, processing and sharing form the foundation for their efficient use; therefore, special attention is required in the development of effective, precise, standardized, and interoperable models for the discovery and publishing of data on the Web. This paper describes the design of a methodology to discover Open Geospatial Consortium (OGC) services on the Web and collect descriptive information, i.e., metadata in a geocatalogue. A pilot implementation of the proposed methodology - Geocatalogue of geospatial information provided by OGC services discovered on Google (hereinafter “Geocatalogue”) - was used to search for available resources relevant to the area of flood protection. The result is an analysis of the availability of resources discovered through their metadata collected from the OGC services (WMS, WFS, etc.) and the resources they provide (WMS layers, WFS objects, etc.) within the domain of flood protection.

Ontological and Semantic Technologies for Geospatial Portals

2011 ◽  
pp. 227-243
Author(s):  
Naijun Zhou
Keyword(s):  
Distributed Computing ◽  
Case Studies ◽  
Service Oriented Architecture ◽  
Data Warehousing ◽  
Geospatial Data ◽  
Semantic Technologies ◽  
Research And Practice ◽  
Service Oriented ◽  
Services And Supports ◽  
Heterogeneous Resources

A geospatial portal is a repository of distributed geospatial data, tools and services, and supports the publishing, management, search, use and sharing of the resources. Geospatial portals have been developed as clearinghouses, metadata portals, data warehousing, and recently geospatial portals incorporated the Service Oriented Architecture and distributed computing to make service-oriented portals. In addition to software and computational challenges, ontology and semantics play an increasingly important role in geospatial portals due to the demand of interoperability. The interoperation and communication of data, tools and services become critical when heterogeneous resources are consolidated and exchanged on geospatial portals. This chapter provides an updated overview of geospatial portals followed by detailed discussion on how the ontological and semantic technologies are incorporated into geospatial portals. Three recent research and practice of geospatial portals are briefly introduced as the case studies of service-oriented portals.

Materiality and Embodiment

2012 ◽  
Author(s):  
Zoë Crossland
Keyword(s):  
Seventeenth Century ◽  
Case Studies ◽  
The Body ◽  
Dead Body ◽  
Forensic Archaeology ◽  
Long Time ◽  
The Dead ◽  
Interdisciplinary Study ◽  
Embodied Agency

The ideas of materiality and embodiment are explored in this article. It considers the contribution of archaeology to the interdisciplinary study of materiality and embodiment, focusing especially on the emergence of the archaeology of the body since the late 1980s. Human bodies have been a focus of archaeological study for a long time, with two divergent modes of analysis. What follows in this article is a review of some of the ways in which archaeologists have attempted to overcome these disciplinary limitations, by deploying a range of anti-foundationalist perspectives to theorize the embodied agency of past people. It further explores how questions of materiality have entered into the debates around embodiment. Finally this article presents two case studies. The first considers the use of apotropaic devices in seventeenth-century England, and the second looks at how the agency of the dead body is portrayed in discourse around contemporary forensic archaeology. An analysis of relations after death in forensic archaeology concludes this article.

Fog Computing Architecture for Scalable Processing of Geospatial Big Data

2020 ◽  
Vol 11 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Rabindra K. Barik ◽  
Rojalina Priyadarshini ◽  
Rakesh K. Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analysis ◽  
Case Studies ◽  
Information Management ◽  
Fog Computing ◽  
Geospatial Data ◽  
Raspberry Pi ◽  
Ganga Basin ◽  
Tourism Information

Geospatial data analysis using cloud computing platform is one of the promising areas for analysing, retrieving, and processing volumetric data. Fog computing paradigm assists cloud platform where fog devices try to increase the throughput and reduce latency at the edge of the client. In this research paper, the authors discuss two case studies on geospatial data analysis using Fog-assisted cloud computing namely, (1)Ganga River Basin Management System; and (2)Tourism Information Management of India. Both case studies evaluate proposed GeoFog architecture for efficient analysis and management of geospatial big data employing fog computing. The authors developed a prototype of GeoFog architecture using Intel Edison and Raspberry Pi devices. The authors implemented some of the open source compression methods for reducing the data transmission overload in the cloud. Proposed architecture performs data compression and overlay analysis of data. The authors further discussed the improvement in scalability and time analysis using proposed GeoFog architecture and Geospark tool. Discussed results show the merit of fog computing that holds an enormous promise for enhanced analysis of geospatial big data in river Ganga basin and tourism information management scenario.

Sign in / Sign up

Export Citation Format

Share Document