scholarly journals MAP GENERATION FOR RETRO GAMING ENGINES

Author(s):  
H. Tauscher ◽  
V. T. Le

Abstract. Current attempts to integrate gaming, geospatial and AEC technologies are driven by increased hardware capabilities and target virtual worlds as close to reality as possible. In this paper we pursue a converse destination and populate low-tech virtual worlds from geospatial data, building and city models, specifically for retro gaming engines in spatial chat tools. We consider an island, a building and a city district scenario and populate these scenarios from OSM, IFC, and CityGML data sources. The derived worlds are targeting use cases in business, educational and recreational settings. Based on a prototypical implementation, we study the feasibility and limitations of good quality retro gaming map generation with automatic means from existing data sets, but also the potential of such worlds for Green IT, accessibility and inspiration of new user groups. We describe the algorithms and processes to generate the maps and outline the concept for a user survey. Beyond that, by discussing map generation techniques from classical gaming in context of and comparison with geospatial and AEC practices, this paper contributes a retrospective of early gaming techniques that might be both entertaining and informative for current development practice.

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Eleanor F. Miller ◽  
Andrea Manica

Abstract Background Today an unprecedented amount of genetic sequence data is stored in publicly available repositories. For decades now, mitochondrial DNA (mtDNA) has been the workhorse of genetic studies, and as a result, there is a large volume of mtDNA data available in these repositories for a wide range of species. Indeed, whilst whole genome sequencing is an exciting prospect for the future, for most non-model organisms’ classical markers such as mtDNA remain widely used. By compiling existing data from multiple original studies, it is possible to build powerful new datasets capable of exploring many questions in ecology, evolution and conservation biology. One key question that these data can help inform is what happened in a species’ demographic past. However, compiling data in this manner is not trivial, there are many complexities associated with data extraction, data quality and data handling. Results Here we present the mtDNAcombine package, a collection of tools developed to manage some of the major decisions associated with handling multi-study sequence data with a particular focus on preparing sequence data for Bayesian skyline plot demographic reconstructions. Conclusions There is now more genetic information available than ever before and large meta-data sets offer great opportunities to explore new and exciting avenues of research. However, compiling multi-study datasets still remains a technically challenging prospect. The mtDNAcombine package provides a pipeline to streamline the process of downloading, curating, and analysing sequence data, guiding the process of compiling data sets from the online database GenBank.


1987 ◽  
Vol 65 (11) ◽  
pp. 2822-2824 ◽  
Author(s):  
W. A. Montevecchi ◽  
J. F. Piatt

We present evidence to indicate that dehydration of prey transported by seabirds from capture sites at sea to chicks at colonies inflates estimates of wet weight energy densities. These findings and a comparison of wet and dry weight energy densities reported in the literature emphasize the importance of (i) accurate measurement of the fresh weight and water content of prey, (ii) use of dry weight energy densities in comparisons among species, seasons, and regions, and (iii) cautious interpretation and extrapolation of existing data sets.


2012 ◽  
Vol 132 (2) ◽  
pp. 485-487 ◽  
Author(s):  
Matthew H. Law ◽  
Grant W. Montgomery ◽  
Kevin M. Brown ◽  
Nicholas G. Martin ◽  
Graham J. Mann ◽  
...  

2021 ◽  
Author(s):  
Ilke Aydogan

Prior beliefs and their updating play a crucial role in decisions under uncertainty, and theories about them have been well established in classical Bayesianism. Yet, they are almost absent for ambiguous decisions from experience. This paper proposes a new decision model that incorporates the role of prior beliefs, beyond the role of ambiguity attitudes, into the analysis of such decisions. Hence, it connects ambiguity theories, popular in economics, with decision from experience, popular (mostly) in psychology, to the benefit of both. A reanalysis of some existing data sets from the literature on decisions from experience shows that the model that incorporates prior beliefs into the estimation of subjective probabilities outperforms the commonly used model that approximates subjective probabilities with observed relative frequencies. Controlling for subjective priors, we obtain more accurate measurements of ambiguity attitudes, and thus a new explanation of the gap between decision from description and decision from experience. This paper was accepted by Manel Baucells, decision analysis.


<strong><em>Abstract. </em><strong>Fishers have often complained that standard United Kingdom groundfish survey data do not adequately reflect the grounds targeted by commercial fishers, and hence, scientists tend to make overcautious estimates of fish abundance. Such criticisms are of particular importance if we are to make a creditable attempt to classify potential essential fish habitat (EFH) using existing data from groundfish surveys. Nevertheless, these data sets provide a powerful tool to examine temporal abundance of fish on a large spatial scale. Here, we report a questionnaire-type survey of fishers (2001–2002) that invited them to plot the location of grounds of key importance in the Irish Sea and to comment on key habitat features that might constitute EFH for Atlantic cod <em>Gadus morhua</em>, haddock <em>Melanogrammus aeglefinus</em>, and European whiting <em>Merlangius merlangus</em>. Plotted grounds were cross-checked using records of vessel sightings by fishery protection aircraft (1985–1999). A comparison of the areas of seabed highlighted by fishers and the observations made on groundfish surveys were broadly compatible for all three species of gadoids examined. Both methods indicated important grounds for cod and European whiting off northern Wales, the Ribble estuary, Solway Firth, north of Dublin, and Belfast Lough. The majority of vessel sightings by aircraft did not match the areas plotted by fishers. However, fishing restrictions, adverse weather conditions, and seasonal variation of fish stocks may have forced fishers to operate outside their favored areas on the (few) occasions that they had been recorded by aircraft. Fishers provided biological observations that were consistent among several independent sources (e.g., the occurrence of haddock over brittle star [ophiuroid] beds). We conclude that fishers’ knowledge is a useful supplement to existing data sets that can better focus more detailed EFH studies.


2007 ◽  
Vol 13 ◽  
pp. 1-12 ◽  
Author(s):  
Matthew L. Julius

The understanding of diatom evolution has progressed greatly over the last two decades. Existing data sets have been reanalyzed, new data sets have been generated, and new tools have been employed. Hindering progress is the seemingly endless number of diatom species remaining to be described and relative small number of investigators active in the field. This problem is further confounded by the dramatic reorganization of generic level classification in the group. Despite these problems, many conclusions can be made about prior hypotheses concerning the group's development. Most notably, the origin of the diatoms can be bracketed between the Late Triassic and Early Jurassic using fossil record and molecular clock estimates. This combination of techniques has also provided consensus and clarification to the origin and duration of specific lineages enhancing our understanding of the group's diversification, early ecology, and evolutionary relationships.


2019 ◽  
Vol 31 (6) ◽  
pp. 559-571
Author(s):  
Ross W. James ◽  
Eila Romo-Murphy ◽  
Mae-Mosette Oczon-Quirante

A small, local-level communication initiative aimed to bring about social change and development in communities affected by sustained conflict in Mindanao, Philippines. A realist evaluation involved a secondary analysis of existing data sets that revealed previously undetected mechanisms and 13 outcomes for improving dialogue, livelihood, and participatory communication. This article describes the method developed for the realist evaluation and constructs Context-Mechanism-Outcome configurations from the existing data sets. The realist evaluation represents what took place in a context characterized by conflict, disadvantage and disempowerment through 2 key mechanisms, community-centered radio and community radio volunteers. Both mechanisms became voices for the voiceless. The community-centered radio program supported community volunteers to mobilize communities to participate in radio segments, offering opportunities for their voices to be heard on local issues resulting in discussion, provision of services not previously offered, community leaders more responsive to community needs, and coordinated community action that resolved needs.


2019 ◽  
Vol 14 (3) ◽  
pp. 399-414
Author(s):  
Kelly Nisbet ◽  
Michel Généreux ◽  
Blake Anderson ◽  
Victor Kuperman

Abstract This paper introduces a freely available and easy to use Java application for the collection and recording of Cloze probability ratings. Clozapp presents participants with text fragments of the researchers’ choice and collects guesses regarding upcoming words. It can also collect basic demographic information about participants. Available modes of data collection include elicitation of responses to a limited number of omitted words in a text or to all words in a text. Clozeapp can be customized to present instructions and experimental stimuli in any given language and to collect multiple types of demographic data. This paper presents the application by detailing the states and actions available, as well as descriptions of how to customize the app to fit different experimental needs including possible input and output details. The application manual is provided. As a proof of concept, we used Clozapp to conduct a replication study of two existing collections of Cloze probability norms. The Clozapp norms showed strong reliable correlations (r > 0.7) with both existing data sets, suggesting a high convergence between modes of data collection. The application provides an efficient and customizable way of collecting predictability norms for language research.


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