Browsing by Subject "software"
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Item Establishing a Land Surveying Digital Map Library: Review of Process and Technologies Created and Leveraged(2017-05-24) Smith, Richard; Rudowsky, Catherine; Hodges, Anne; Texas A&M University-Corpus ChristiThe Special Collections and Archives Department in the Mary and Jeff Bell Library at Texas A&M University – Corpus Christi contains nine land surveying map collections. These map collections contain tens of thousands of land surveying maps and documents of Corpus Christi, Nueces County, and the surrounding Texas region from the late 19th century to the late 20th century. These historic map collections are currently only available to in-person library visitors, restricting the availability of these maps to only those who are able to travel to Corpus Christi. The Conrad Blucher Institute for Surveying and Science (CBI), in collaboration with the Mary and Jeff Bell Library, is scanning these map collections so an online digital map library can be established. Currently, over 66,000 items have been scanned and cataloged from two of the nine map collections. During the course of scanning and cataloging the map collections, we have developed scanning and cataloging procedures, an automatic scan cropping application, a web-based cataloging system (BandoCat), a web-based document transcription system, and a web-based map georectification system. To publish the map collection to the public, we have chosen DSpace, hosted by the Texas Digital Library, as our publishing platform. We have utilized the DSpace REST API to create a custom solution that allows us to publish directly from within our cataloging system. The focus of this presentation will be a review of the recent progress on the project up to its current status. The review will cover our scanning procedures, cataloging procedures, use of DSpace REST API for publishing documents, and our cataloging, transcription, and georectification software. The presentation will be a mix of high-level discussion, system demonstration, and technical explanation.Item Hypertextual Ultrastructures: Movement and Containment in Texts and Hypertexts(2010-01-14) Coste, Rosemarie L.The surface-level experience of hypertextuality as formless and unbounded, blurring boundaries among texts and between readers and writers, is created by a deep structure which is not normally presented to readers and which, like the ultrastructure of living cells, defines and controls texts' nature and functions. Most readers, restricted to surface-level interaction with texts, have little access to the deep structure of any hypertext. In this dissertation, I argue that digital hypertexts differ essentially from paper texts in that hypertexts are constructed in multiple layers, with surface-level appearance and behavior controlled by sub-surface ultrastructure, and that these multiple layers of structure enable and necessitate new methods of textual study designed for digital texts. Using participant-observation from within my own practice as a webmaster, I closely examine the sub-surface structural layers that create several kinds of Web-based digital hypertexts: blogs, forums, static Web pages, and dynamic Web pages. With these hypertexts as the primary models, along with their enabling software and additional digital texts-wikis, news aggregators, word processing documents, digital photographs, electronic mail, electronic forms-available to me as a reader/author rather than a webmaster, I demonstrate methods of investigating and describing the development of digital texts. These methods, like methods already established within textual studies to trace the development of printed texts, can answer questions about accidental and intentional textual change, the roles of collaborators, and the ways texts are shaped by production processes and mediating technologies. As a step toward a formalist criticism of hypertext, I propose concrete ways of categorizing, describing, and comparing hypertexts and their components. I also demonstrate techniques for visualizing the structures, histories, and interrelationships of hypertexts and explore methods of using self-descriptive surface elements in paper-like texts as partial substitutes for the sub-surface self-description available in software-like texts. By identifying digitization as a gateway to cooperation between human and artificial intelligences rather than an end in itself, I suggest natural areas of expansion for the humanities computing collaboration as well as new methodologies by which originally-printed texts can be studied in their digital forms alongside originally-digital texts.Item Multivariate Skew-t Distributions in Econometrics and Environmetrics(2012-02-14) Marchenko, Yulia V.This dissertation is composed of three articles describing novel approaches for analysis and modeling using multivariate skew-normal and skew-t distributions in econometrics and environmetrics. In the first article we introduce the Heckman selection-t model. Sample selection arises often as a result of the partial observability of the outcome of interest in a study. In the presence of sample selection, the observed data do not represent a random sample from the population, even after controlling for explanatory variables. Heckman introduced a sample-selection model to analyze such data and proposed a full maximum likelihood estimation method under the assumption of normality. The method was criticized in the literature because of its sensitivity to the normality assumption. In practice, data, such as income or expenditure data, often violate the normality assumption because of heavier tails. We first establish a new link between sample-selection models and recently studied families of extended skew-elliptical distributions. This then allows us to introduce a selection-t model, which models the error distribution using a Student?s t distribution. We study its properties and investigate the finite-sample performance of the maximum likelihood estimators for this model. We compare the performance of the selection-t model to the Heckman selection model and apply it to analyze ambulatory expenditures. In the second article we introduce a family of multivariate log-skew-elliptical distributions, extending the list of multivariate distributions with positive support. We investigate their probabilistic properties such as stochastic representations, marginal and conditional distributions, and existence of moments, as well as inferential properties. We demonstrate, for example, that as for the log-t distribution, the positive moments of the log-skew-t distribution do not exist. Our emphasis is on two special cases, the log-skew-normal and log-skew-t distributions, which we use to analyze U.S. precipitation data. Many commonly used statistical methods assume that data are normally distributed. This assumption is often violated in practice which prompted the development of more flexible distributions. In the third article we describe two such multivariate distributions, the skew-normal and the skew-t, and present commands for fitting univariate and multivariate skew-normal and skew-t regressions in the statistical software package Stata.