High-Density Air Sampling of Traffic Pollutants, Including 1-Nitropyrene, to Inform Fine-Scale Spatial Models of Diesel Exhaust

ABSTRACTDescriptions of the fine scale distribution of organisms have frequently been used to investigate various ecological phenomena. Unfortunately, the most widely used spatial analysis techniques are based on single index statistics, which convey only minimal information about the biological processes underlying the studied distributions. Such statistics cannot detect changes in pattern over different scales, and cannot identify some types of distribution. Additionally, both the use of such statistics on the distribution of individuals which have a non-negligible size, and the frequent failure to use an edge correction for points close to the boundaries of a sampled area, have led to the over-reporting of ‘spaced out’ (‘regular’) distributions. Using two spatial distributions recently analysed with a single index statistic (termite mounds, and earthmounds created by termites), I illustrate the benefits gained from using the spatial functions K(t), G(y) and F(x) to analyse both ‘point events’ and events which have a non-negligible size. These functions are considerably more informative about the nature of a spatial pattern and offer wide scope for the fitting of spatial models to biological distributions.

Download Full-text

Semiempirical Model for Fine-Scale Assessment of Pedestrian-Level Wind in High-Density Cities

SpringerBriefs in Architectural Design and Technology - Urban Wind Environment ◽

10.1007/978-981-10-5451-8_4 ◽

2018 ◽

pp. 55-75

Author(s):

Chao Yuan

Keyword(s):

High Density ◽

Semiempirical Model ◽

Fine Scale ◽

Scale Assessment

Download Full-text

2–2 piezoelectric composites with high density and fine scale fabricated by interdigital pair bonding

Applied Physics Letters ◽

10.1063/1.125303 ◽

1999 ◽

Vol 75 (21) ◽

pp. 3390-3392 ◽

Cited By ~ 4

Author(s):

Ruibin Liu ◽

Kasia A. Harasiewicz ◽

D. Knapik ◽

N. A. Freeman ◽

F. Stuart Foster

Keyword(s):

High Density ◽

Fine Scale ◽

Pair Bonding ◽

Piezoelectric Composites

Download Full-text

Fine-scale mapping of cortical laminar activity during sleep slow oscillations using high-density linear silicon probes

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2018.08.020 ◽

2019 ◽

Vol 316 ◽

pp. 58-70 ◽

Cited By ~ 4

Author(s):

Richárd Fiáth ◽

Bogdan Cristian Raducanu ◽

Silke Musa ◽

Alexandru Andrei ◽

Carolina Mora Lopez ◽

...

Keyword(s):

High Density ◽

Fine Scale ◽

Slow Oscillations ◽

Cortical Laminar ◽

Density Linear ◽

Fine Scale Mapping ◽

Silicon Probes

Download Full-text

The revenue and logistics costs of convenience store chains in Taiwan

International Journal of Retail & Distribution Management ◽

10.1108/ijrdm-12-2019-0402 ◽

2020 ◽

Vol 48 (11) ◽

pp. 1255-1273

Author(s):

Pei-Chun Lin ◽

Chia-Jung Lin ◽

Chung-Wei Shen ◽

Jenhung Wang

Keyword(s):

Economies Of Scale ◽

Spatial Configuration ◽

Spatial Models ◽

High Density ◽

Annual Reports ◽

Convenience Store ◽

Content Type ◽

Expansion Strategy ◽

The Future ◽

Revenue Models

PurposeThe objectives of this study were to demonstrate that the high-density 7-Eleven c-stores in Taiwan benefit from economies of scale in distribution and can, therefore, leverage the logistics costs; and to decide the proper locations for the future inauguration of c-stores.Design/methodology/approachThe study spatially analysed the c-stores located in Tainan, Taiwan and examines the influence of spatial configuration on c-store revenue. This study developed models to quantify the revenue and logistics costs that the 7-Eleven convenience store (c-store) chain encountered when adopting a high-density expansion strategy. The revenue models’ parameters were calibrated utilizing data collected from financial statements in 7-Eleven chains’ 2015 corporate annual reports and modelling was used to quantify the influence of agglomeration forces and the distance separating c-stores on revenue.FindingsPositive agglomeration forces increased 7-Eleven’s company-wide sales and the average daily revenue of its individual c-stores, and decreased those of competitors. The study findings demonstrate the high-density 7-Eleven c-stores in Tainan benefit from economies of scale in distribution and can, therefore, leverage their logistics costs. The spatial analysis concluded that higher-density and higher-revenue c-stores were spatially clustered.Originality/valueThe study extends the use of analytical revenue and spatial models to decide the proper locations for the future inauguration of c-stores.

Download Full-text

Space oddity: The mission for spatial integration

Canadian Journal of Fisheries and Aquatic Sciences ◽

10.1139/cjfas-2017-0150 ◽

2017 ◽

Vol 74 (11) ◽

pp. 1698-1716 ◽

Cited By ~ 30

Author(s):

Aaron M. Berger ◽

Daniel R. Goethel ◽

Patrick D. Lynch ◽

Terrance Quinn ◽

Sophie Mormede ◽

...

Keyword(s):

Data Collection ◽

Spatial Modeling ◽

Fishery Management ◽

Stock Assessment ◽

Spatial Models ◽

Fine Scale ◽

Spatial Analyses ◽

Spatial Integration ◽

Ecological Processes ◽

Management Advice

Fishery management decisions are commonly guided by stock assessment models that aggregate outputs across the spatial domain of the species. With refined understanding of spatial population structures, scientists have begun to address how spatiotemporal mismatches among the scale of ecological processes, data collection programs, and stock assessment methods (or assumptions) influence the reliability and, ultimately, appropriateness of regional fishery management (e.g., assigning regional quotas). Development and evaluation of spatial modeling techniques to improve fisheries assessment and management have increased rapidly in recent years. We overview the historical context of spatial models in fisheries science, highlight recent advances in spatial modeling, and discuss how spatial models have been incorporated into the management process. Despite limited examples where spatial assessment models are used as the basis for management advice, continued investment in fine-scale data collection and associated spatial analyses will improve integration of spatial dynamics and ecosystem-level interactions in stock assessment. In the near future, spatiotemporal fisheries management advice will increasingly rely on fine-scale outputs from spatial analyses.

Download Full-text

Manufacturing and characterization of Magnéli phase conductive fibres

Journal of Materials Chemistry A ◽

10.1039/c4ta00685b ◽

2014 ◽

Vol 2 (22) ◽

pp. 8328-8333 ◽

Cited By ~ 23

Author(s):

V. Adamaki ◽

F. Clemens ◽

P. Ragulis ◽

S. R. Pennock ◽

J. Taylor ◽

...

Keyword(s):

High Density ◽

Fine Scale ◽

Inexpensive Method ◽

Magnéli Phase ◽

Magneli Phase

This paper reports a simple and inexpensive method for preparing fine scale (Ø 260 μm) and high-density Magnéli phase (TinO2n−1) conductive ceramic fibres.

Download Full-text