2011
DOI: 10.1596/27403
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A Review of Highway Agencies in the South Asia Region

Abstract: The task team would like to thank ECORYS Nederland B.V. and ICRA Management Consulting Services Limited (IMaCS), who were engaged for carrying out data collection, analysis, case studies and developing a major part of this study report. The task team highly appreciates support from Mssrs.

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Cited by 7 publications
(5 citation statements)
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“…We extracted data for responses to control and treatment levels of climate variables utilizing WebPlotDigitizer ver. 3.9 (Rohatgi 2011). In cases where use of WebPlotDigitizer might not be accurate, such as overlapping data points, raw data were requested from authors and included when available.…”
Section: Study Identification and Data Extractionmentioning
confidence: 99%
“…We extracted data for responses to control and treatment levels of climate variables utilizing WebPlotDigitizer ver. 3.9 (Rohatgi 2011). In cases where use of WebPlotDigitizer might not be accurate, such as overlapping data points, raw data were requested from authors and included when available.…”
Section: Study Identification and Data Extractionmentioning
confidence: 99%
“…To obtain treatment means for response variables, we extracted numerical data from tables and text and used WebPlotDigitizer (Rohatgi 2011) to collect data from figures. When responses were given for >1 year of a study, we followed Gurevitch & Hedges (2001) and Borer et al (2005) in using only the final time point to allow the longest possible time for treatment effects to emerge.…”
Section: Quantifying Effect Sizesmentioning
confidence: 99%
“…This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al 2013), and matplotlib, a Python library for publication quality graphics (Hunter 2007) and LMFIT, a nonlinear least-squares minimization and curvefitting package for Python (Newville et al 2014). Data from the literature was digitized using WebPlotDigitizer version 4.1 when not available in digital form (Rohatgi 2011). Analysis of CRRL observations was done using CRRLpy (Salas et al 2016).…”
mentioning
confidence: 99%