The Final Frontier: Using Space under 2040

Later this year the Metro Council will face a decision about expansion of the urban growth boundary (UGB). Reaching a verdict on that question will require negotiating the conflicts between the long term regional vision described in Metro\u27s 2040 Plan, short-term economic fluctuations, and specific local concerns. Looking at possible tradeoffs and choices facing the region, panelists at a recent Metroscape™ forum on these topics were asked to discuss the connections among implementation, design, and market challenges involved in planning for the integration of open space with denser development in regional centers. What follows are excerpts from a panel discussion that took place at Portland State University in April, 2002. The full transcript is available at the Institute of Portland Metropolitan Studies\u27 website (www.upa.pdx.edu/IMS/). Panelists represented diverse perspectives: regional and local planning, elected officials, design professionals, and advocates for different perspectives on growth management issues

Identifying Correlated Heavy-Hitters in a Two-Dimensional Data Stream

We consider online mining of correlated heavy-hitters from a data stream. Given a stream of two-dimensional data, a correlated aggregate query first extracts a substream by applying a predicate along a primary dimension, and then computes an aggregate along a secondary dimension. Prior work on identifying heavy-hitters in streams has almost exclusively focused on identifying heavy-hitters on a single dimensional stream, and these yield little insight into the properties of heavy-hitters along other dimensions. In typical applications however, an analyst is interested not only in identifying heavy-hitters, but also in understanding further properties such as: what other items appear frequently along with a heavy-hitter, or what is the frequency distribution of items that appear along with the heavy-hitters. We consider queries of the following form: In a stream S of (x, y) tuples, on the substream H of all x values that are heavy-hitters, maintain those y values that occur frequently with the x values in H. We call this problem as Correlated Heavy-Hitters (CHH). We formulate an approximate formulation of CHH identification, and present an algorithm for tracking CHHs on a data stream. The algorithm is easy to implement and uses workspace which is orders of magnitude smaller than the stream itself. We present provable guarantees on the maximum error, as well as detailed experimental results that demonstrate the space-accuracy trade-off

Fair Use in the Visual Arts: Lesson Plans for Librarians

The authors guide art information professionals in crafting learning experiences that empower students to understand copyright and take advantage of fair use in their art, design, and academic practices. The College Art Association’s Code of Best Practices in Fair Use for the Visual Arts, endorsed by ARLIS/NA in 2015, is a key document that has the potential to transform the use of images in the visual arts. Education will be an essential part of the integration of the Code into the visual arts, and art information professionals are well positioned to teach fair use and the Code. This book was created to further ARLIS/NA’s mission to support the evolving role of art information professionals, which increasingly includes copyright and fair use instruction. The lesson plans in this book will help those new to copyright instruction teach the Code through engaging activities and assignments. The lesson plans are also meant to inspire teachers experienced with fair use instruction through creative ideas and new ways to integrate copyright instruction into art classes, digital humanities projects, and design education

Track me if you plan – Aufzeichnung urbaner Aktivitätsmuster mittels Smartphonetracking

Der vorliegende Beitrag beschreibt die Ergebnisse der Studie „Track me if you plan“, die im Rahmen des DFG-Projektes „Urban Emotions“ an der TU Kaiserslautern durchgeführt worden ist. Inhalt der Studie ist die Fragestellung, wie Personen sich im Stadtraum bewegen, was ihre Beweggründe für gewisse Bewegungsmuster sind, wie diese Muster zu identifizieren sind und welchen Mehrwert das Arbeiten mit diesen Daten und das Wissen um diese Muster für die räumliche Planung bietet. Inhalte neben der Beschreibung der Studie sind Aspekte der Verwendung von Humansensorik für die räumliche Planung, der Exkurs in die Bewegung des „Quantified Self“ und welche einfach handhabbaren Trackingmethoden für solche Experimente zur Verfügung stehen. Anhand statistischer Aussagen zur Verkehsmittelwahl, sowie am Beispiel räumlicher Phänomene werden zudem die Einsatzmöglichkeiten innerhalb der Stadtplanung erörtert und sowohl die Vor-, als auch die Nachteile der Methode diskutiert

Mining dense substructures from large deterministic and probabilistic graphs

Graphs represent relationships. Some relationships can be represented as a deterministic graph while others can only be represented by using probabilities. Mining dense structures from graphs help us to find useful patterns in these relationships having applications in wide areas like social network analysis, bioinformatics etc. Arguably the two most fundamental dense substructures are Maximal Cliques and Maximal Bicliques. The enumeration of both these structures are central to many data mining problems. With the advent of “big data”, real world graphs have become massive. Recently systems like MapReduce have evolved to process such large data. However using these systems to mine dense substrucures in massive graphs is an open question. In this thesis, we present novel parallel algorithms using MapReduce for the enumeration of Maximal Cliques / Bicliques in large graphs. We show that our algorithms are work optimal and load balanced. Further, we present a detailed evaluation which shows that the algorithm scales to large graphs with millions of edges and tens of millions of output structures. Finally we consider the problem of Maximal Clique Enumeration in an Uncertain Graph, which is a probability distribution on a set of deterministic graphs. We define the notion of a maximal clique for an uncertain graph, give matching upper and lower bounds on the number of such structures and present a near optimal algorithm to mine all maximal cliques

Tropic and East Fork Irrigation Company, Tropic Ditch Replacement Project, Environmental Assessment

The purpose of this project is to reduce the amount of salt entering the Paria River and ultimately the Colorado River. One way to reduce the amount of salt reaching the Colorado River is to eliminate seepage from the historic Tropic Ditch. The Bureau of Reclamation, Provo Area Office has proposed funding for the project under the Colorado River Salinity Control Program. In addition to reducing the amount of salt loading, the project would also conserve water lost to evaporation and seepage. The purpose of this Environmental Assessment (EA) is to analyze the potential environmental consequences of the proposed construction of an irrigation pipeline by Tropic and East Fork Irrigation Company. The construction of the pipeline would originate approximately one mile within the east border of Bryce Canyon National Park. The pipeline would follow approximately one mile of an existing cattle trail through the park. It would continue to pass through the Tropic Canyon and eventually into the Tropic Valley near the town of Tropic in Garfield County, Utah. The pipeline would replace about 5.5 miles of existing open ditch with about 4 miles of pipe. This EA identifies potential environmental consequences including changes to riparian vegetation, wildlife and biological productivity within seep-created riparian habitat along the ditch as well as consequences to cultural resources. The EA identifies management practices and mitigation measures that would be implemented to reduce or eliminate undesirable effects during project construction.

Ebook User Expectations

This document synthesizes existing user research on ebooks, proposes user stories for the Enhanced Networked Monographs (ENM) reader interface, and poses questions for further investigation. Research confirms the desirability of full-text search, annotation, and navigation using internal links within an ebook. Downloading, printing, and copying/pasting are also important. Though navigation via internal links has been studied, expectations about the directionality of links could be further investigated. Relatedly, though users may expect ebooks to have Internet-style hyperlinks in them, conclusions are mixed regarding the appropriateness or value of links to external content, and it is unclear what sort of content users desire from external links. This issue, as well as expectations for navigating not just within a book but also between ebooks, are areas for future study.The Andrew W. Mellon Foundatio

FRICKbits

Review of FRICKbits, Reviewed October 2015 by Alexandra Provo, Kress Fellow in Art Librarianship Robert B. Haas Family Arts Library, Yale University [email protected]

A New Home for Calabash

In the summer of 2020, Digital Scholarship Services at NYU Libraries was approached by NYU professor Jacqueline Bishop about finding a new home for Calabash: A Journal of Caribbean Arts and Letters. Multilingual and focused on centering unheard voices, Calabash was a pioneering journal showcasing poetry, literature, and visual arts from across the Caribbean. The journal, which Dr. Bishop edited from 2000-2008, had since ceased publishing, and the NYU server that had been hosting the site was due to be retired. While it is not unusual to need to migrate content when systems become obsolete, this request required us to adapt existing workflows and develop some new ones. It also highlighted some of the limitations of our systems, especially when it comes to describing multilingual material. This poster outlines the workflows and activities undertaken to capture PDFs of each article, derive and enrich metadata using OpenRefine and Google Sheets, and upload material to NYU’s institutional repository. The migration work was multifaceted, iterative, and cross-departmental, involving colleagues from digital scholarship services, technical services, data services, and digital library departments. Along the way, we encountered some challenges, such as data that wouldn’t scrape, a need to reorder names, material in languages not represented in our system’s language code list, and decisions about which FDA import method to use. These challenges pushed us to learn more about web scraping, OpenRefine, and the DSpace import process. The scripted and semi-scripted methods we used got us part of the way there, but not quite all the way, so in 2021 and 2022 we had the help of two outstanding students from the NYU/LIU Palmer Dual Degree program, who enhanced the descriptive metadata to improve discoverability so that the journal's rich content can now reach a wider audience