1 resultado para ECONOMICS OF SCALE
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Repository Napier (3)
- Aberdeen University (6)
- Aberystwyth University Repository - Reino Unido (4)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (12)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (56)
- Archive of European Integration (22)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (9)
- Aston University Research Archive (45)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (7)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (15)
- Boston University Digital Common (2)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (5)
- CaltechTHESIS (5)
- Cambridge University Engineering Department Publications Database (14)
- CentAUR: Central Archive University of Reading - UK (57)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (12)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (19)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (47)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (9)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (60)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Archives@Colby (2)
- Digital Commons - Michigan Tech (5)
- Digital Commons @ Center for the Blue Economy - Middlebury Institute of International Studies at Monterey (4)
- Digital Commons at Florida International University (11)
- Digital Peer Publishing (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (4)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (10)
- Ecology and Society (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (12)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (13)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (14)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (1)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (8)
- QSpace: Queen's University - Canada (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (44)
- Queensland University of Technology - ePrints Archive (103)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (11)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (10)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- Universidad del Rosario, Colombia (15)
- Universidad Politécnica de Madrid (12)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (7)
- Université de Montréal (1)
- Université de Montréal, Canada (10)
- University of Connecticut - USA (12)
- University of Michigan (67)
- University of Queensland eSpace - Australia (16)
- University of Southampton, United Kingdom (1)
- University of Washington (2)
- WestminsterResearch - UK (1)
Resumo:
Surface roughness is an important geomorphological variable which has been used in the Earth and planetary sciences to infer material properties, current/past processes, and the time elapsed since formation. No single definition exists; however, within the context of geomorphometry, we use surface roughness as an expression of the variability of a topographic surface at a given scale, where the scale of analysis is determined by the size of the landforms or geomorphic features of interest. Six techniques for the calculation of surface roughness were selected for an assessment of the parameter`s behavior at different spatial scales and data-set resolutions. Area ratio operated independently of scale, providing consistent results across spatial resolutions. Vector dispersion produced results with increasing roughness and homogenization of terrain at coarser resolutions and larger window sizes. Standard deviation of residual topography highlighted local features and did not detect regional relief. Standard deviation of elevation correctly identified breaks of slope and was good at detecting regional relief. Standard deviation of slope (SD(slope)) also correctly identified smooth sloping areas and breaks of slope, providing the best results for geomorphological analysis. Standard deviation of profile curvature identified the breaks of slope, although not as strongly as SD(slope), and it is sensitive to noise and spurious data. In general, SD(slope) offered good performance at a variety of scales, while the simplicity of calculation is perhaps its single greatest benefit.