MAGICAL Computer Simulation of Mesolithic Foraging

Author(s):  
Mark Winter Lake

The MAGICAL (Multi-Agent Geographically Informed Computer AnaLysis) software described in this chapter was designed to integrate two of the most important computational methods used by archaeologists during the last decade: Geographical Information Systems (GIS) (e.g., Allen et al. 1990) and multiagent simulation (e.g., Lake 1995; Mithen 1990). At the outset of model development in 1995, it was recognized that GIS provide archaeologists with a sophisticated means of manipulating spatial data, but offer limited support for modeling change through time. Conversely, multiagent simulation models have allowed archaeologists to study change through time, but have either lacked or had simplistic spatial components. Consequently, the research described here aimed to combine the strengths of GIS and multiagent simulation in one software package so as to better facilitate the quantitative study of spatiotemporal variability in the archaeological record. The MAGICAL software was developed within the broader context of the Southern Hebrides Mesolithic Project (SHMP). This project was established in 1988 by Dr. Steven Mithen (University of Reading) to acquire new data from the Scottish Islands of Islay and Colonsay and, by integrating this with existing data, to develop a regional perspective on the early postglacial settlement of Western Scotland (Mithen and Lake 1996). The construction of a computer simulation model was considered a fundamental part of the postexcavation studies of the SHMP (Lake in press). It was hoped that conceptual models which would otherwise remain largely intuitive could be more rigorously explored by formalizing them into mathematical algorithms, translating those algorithms into computer code, and then running simulation experiments. This chapter describes how the MAGICAL software integrates GIS and multiagent simulation. It does so directly in section one and then by example in sections two, three, and four. Section two discusses the conceptual basis of the SHMP simulation model, and section three describes how this was implemented using the MAGICAL software. Section four presents the results of the SHMP simulations. Note that the SHMP simulation model is discussed primarily as a means of demonstrating the capabilities of the MAGICAL software. Those interested in the wider background to this particular modeling endeavor are urged to consult Mithen (ed., in prep).

Author(s):  
Susan Wachter ◽  
Michelle M. Thompson ◽  
Kevin C. Gillen

This chapter provides an overview of a major contemporary issue in real estate valuation — the use of geographical data to improve valuation outcomes. The spatial nature of real estate data allow the development of specialized models that increase the likelihood for better predictions. This chapter examines how using spatial data, with geographical information systems (GIS), can improve the accuracy of real estate valuation models. Contemporary theory in economics, planning, housing, and appraisal influences the model application that underlies the new field of GIScience and the use of Automated Valuation Models (AVMs) in practice. Exploratory methods of model development are also considered in the presentation of a case study along with a discussion of the changing history, development and future of AVMs and GIS.


1996 ◽  
Vol 33 (9) ◽  
pp. 39-47 ◽  
Author(s):  
John W. Davies ◽  
Yanli Xu ◽  
David Butler

Significant problems in sewer systems are caused by gross solids, and there is a strong case for their inclusion in computer simulation models of sewer flow quality. The paper describes a project which considered methods of modelling the movement of gross solids in combined sewers. Laboratory studies provided information on advection and deposition of typical gross solids in part-full pipe flow. Theoretical considerations identified aspects of models for gross solids that should differ from those for dissolved and fine suspended pollutants. The proposed methods for gross solids were incorporated in a pilot model, and their effects on simple simulations were considered.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Fatemeh Hashemi Amin ◽  
Mahtab Ghaemi ◽  
Sayyed Mostafa Mostafavi ◽  
Ladan Goshayeshi ◽  
Khadijeh Rezaei ◽  
...  

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.


2005 ◽  
Vol 142 (4) ◽  
pp. 327-354 ◽  
Author(s):  
E. J. RAYFIELD ◽  
P. M. BARRETT ◽  
R. A. McDONNELL ◽  
K. J. WILLIS

Geographical Information Systems (GIS) have been applied extensively to analyse spatial data relating to varied environmental issues, but have not so far been used to address biostratigraphical or macroevolutionary questions over extended spatial and temporal scales. Here, we use GIS techniques to test the stability, validity and utility of proposed Middle and Late Triassic ‘Land Vertebrate Faunachrons’ (LVFs), a global biostratigraphical framework based upon terrestrial/freshwater tetrapod occurrences. A database of tetrapod and megafloral localities was constructed for North America and Western Europe that also incorporated information on relevant palaeoenvironmental variables. This database was subjected to various spatial analysis techniques. Our GIS analysis found support at a global level for Eocyclotosaurus as an Anisian index taxon and probably Aetosaurus as a Norian indicator. Other tetrapod taxa are useful biostratigraphical/biochronological markers on a regional basis, such as Longosuchus and Doswellia for Late Carnian time. Other potential index fossils are hampered, however, by taxonomic instability (Mastodonsaurus, Metoposaurus, Typothorax, Paleorhinus, Pseudopalatus, Redondasaurus, Redondasuchus) and/or are not clearly restricted in temporal distribution (Paleorhinus, Angistorhinus, Stagonolepis, Metoposaurus and Rutiodon). This leads to instability in LVF diagnosis. We found only in the western Northern Hemisphere is there some evidence for an Anisian–Ladinian biochronological unit amalgamating the Perovkan and Berdyankian LVFs, and a possible late Carnian unit integrating the Otischalkian and Adamanian.Megaplants are generally not useful for biostratigraphical correlation in the Middle and Upper Triassic of the study area, but there is some evidence for a Carnian-age floral assemblage that corresponds to the combined Otischalkian and Adamanian LVFs. Environmental biases do not appear to strongly affect the spatial distribution of either the tetrapods or megaplants that have been proposed as index taxa in biostratigraphical schemes, though several examples of apparent environmental bias were detected by the analysis. Consequently, we argue that further revision and refinement of Middle and Late Triassic LVFs is needed before they can be used to support global or multi-regional biostratigraphical correlations. Caution should therefore be exercised when using the current scheme as a platform for macroevolutionary or palaeoecological hypotheses. Finally, this study demonstrates the potential of GIS as a powerful tool for tackling palaeontological questions over extended timescales.


2016 ◽  
Author(s):  
Andreas Georgiou ◽  
Dimitrios Skarlatos

Abstract. Among the renewable powers sources, solar is rapidly becoming popular being inexhaustible, clean, and dependable. It is also becoming more efficient since the photovoltaic solar cells' power conversion efficiency is rising. Following these trends, solar power will become more affordable in years to come and considerable investments are to be expected. Despite the size of solar plants, the sitting procedure is a crucial factor for their efficiency and financial viability. Many aspects rule such decision; legal, environmental, technical, and financial to name some. This paper describes a general integrated framework to evaluate land suitability for the optimal placement of photovoltaic solar power plants, which is based on a combination of a Geographic Information System (GIS), remote sensing techniques and multi-criteria decision making methods. An application of the proposed framework for Limassol District in Cyprus is further illustrated. The combination of GIS and multi-criteria methods, consist an excellent analysis tool that creates an extensive database of spatial and non spatial data that will be used to simplify problems, to solve and promote the use of multiple criteria. A set of environmental, economic, social and technical constrains based on recent Cypriot legislation, European's Union policies and experts' advices, identifies the potential sites for solar park installation. The pair-wise comparison method in the context of the analytic hierarchy process (AHP) is applied to estimate the criteria weights in order to establish their relative importance in site evaluation. In addition, four different methods to combine information layers and check their sensitivity were used. The first considered all the criteria as being equally important and assign them equal weight, while the others grouped the criteria and graded them according to their objective perceived importance. The overall suitability of the study region for sitting solar park is appraised through the summation rule. Strict application of the framework depicts 3.0 % of the study region scoring best suitability index for solar resource exploitation, hence minimizing risk of a potential investment. However, using different weighting schemes for criteria, suitable areas may reach up to 83 % of the study region. The suggested methodological framework applied can be easily utilized by potential investors and renewable energy developers, through a front end web based application with proper GUI for personalized weighting schemes.


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Anthony Masure

<p><strong>Abstract.</strong> The goal of this conference is to study the legacy of Jacques Bertin’s Semiology of Graphics in the field of dataviz, and more precisely in Lev Manovich’s Cultural Analytics.</p><p>Published in 1967, Jacques Bertin’s <i>Semiology of Graphics</i> (<i>Sémiologie graphique</i>) aims to establish the representation of topographic mapping on a scientifically “proven” system. Bertin relies on an objective (Desbois, 2018) and rational system of signs called “visual variables” (Bertin, 1967). Evoking the old Gestalt Theory (Metz, 1971), the Semiology of Graphics wants to build an “efficiency” of communication at the expense of precision. According to Bertin, it is essential to simplify the information beforehand. There is also the idea of a moving and dynamic image that makes sense through tangible manipulation. Its matrix table system (“ordinable matrices”) allows readers to configure their own reading of data by appealing to their aesthetic feeling. This is what Bertin called “the painter’s eye” (Palsky &amp; Robic, 2000).</p><p>It is striking that Bertin depreciates aesthetics to the detriment of efficiency and logical rules – a kind of “doxa” of the visible. While the Semiology of Graphics has greatly influenced cartographers since the 1970s, this paradoxical (repressed?) place of aesthetics in the construction of scientific images is still alive (Renon, 2016). We thus find many resurgences of this desire to mathematize the visible in contemporary information design practices, for example in dataviz. This rapprochement between Graphics and computer sciences (IT) had also been initiated by Bertin himself through his many collaborations with IBM.</p><p>We could consider that dataviz deviate from Bertin’s principles because they too often favour technical performance over effective understanding of information (Buellet, Gimeno &amp;amp; Renon, 2018). On the other hand, the primacy of the efficiency of computer code (the “efficient” processing of large datasets) may suggest that digital code would, in a way, have replaced visual variables. Caught in a tension between the abstraction of computer code (which is no longer manipulable, as was the case in Bertin’s ordinable matrices) and their visibility (their representation on the screen), dataviz is an interesting object of study to rethink the relevance of Bertin’s theories today.</p><p>We will focus our study on the field of Cultural Analytics. Initiated by the artist and computer scientist Lev Manovich in the early 2010s, Cultural Analytics compute human cultural productions (social media, works of art, etc.) in “patterns” to identify matches and recurrences (Manovich, 2018). Some of the most well-known projects (interactive experiments and exhibitions) include Phototrails / Instagram Cities (2012&amp;ndash;2015) and Selfie City (2014). These real technical feats do not escape the impasses of topographic map neutrality denounced by John Brian Harley in the late 1980s: “As they embrace computer-assisted methods and Geographical Information Systems, the scientistic rhetoric of map makers is becoming more strident. The ‘culture of technics’ is everywhere rampant (Harley, 1989).” This transition from topographical mapping to the mapping of human cultural productions raises questions about visual variables: is a mathematization of the visible desirable or even possible?</p>


Author(s):  
Kivanc Ertugay ◽  
Sebnem H. Duzgun

Accessibility measures are generally concerned with equity and a better distribution of services in a territory and can be accepted as key variables for supporting supply/demand, location/allocation and service/catchment area related planning policies and strategies at national, regional, and local levels. Since accessibility measures need organization of huge and complex spatial data sets, accessibility modeling often lends itself to Geographical Information Systems (GIS) for analysis and presentation. Since numerous accessibility measures and modeling techniques ranging from simple to sophisticated can be found in the literature, this work aim to provide an overview of the theoretical framework and relevant background about GIS-based accessibility modeling process. The results could provide a significant support for the decision makers who are supposed to deal with transportation planning, accessibility modeling, location/allocation and service/catchment area related issues.


Author(s):  
Kivanc Ertugay ◽  
Sebnem H. Duzgun

Accessibility measures are generally concerned with equity and a better distribution of services in a territory and can be accepted as key variables for supporting supply/demand, location/allocation and service/catchment area related planning policies and strategies at national, regional, and local levels. Since accessibility measures need organization of huge and complex spatial data sets, accessibility modeling often lends itself to Geographical Information Systems (GIS) for analysis and presentation. Since numerous accessibility measures and modeling techniques ranging from simple to sophisticated can be found in the literature, this work aim to provide an overview of the theoretical framework and relevant background about GIS-based accessibility modeling process. The results could provide a significant support for the decision makers who are supposed to deal with transportation planning, accessibility modeling, location/allocation and service/catchment area related issues.


Author(s):  
Markus Schneider

A data type comprises a set of homogeneous values together with a collection of operations defined on them. This chapter emphasizes the importance of crisp spatial data types, fuzzy spatial data types, and spatiotemporal data types for representing static, vague, and time-varying geometries in Geographical Information Systems (GIS). These data types provide a fundamental abstraction for modeling the geometric structure of crisp spatial, fuzzy spatial, and moving objects in space and time as well as their relationships, properties, and operations. The goal of this chapter is to provide an overview and description of these data types and their operations that have been proposed in research and can be found in GIS, spatial databases, moving objects databases, and other spatial software tools. The use of data types, operations, and predicates will be illustrated by their embedding into query languages.


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