Contributors:Challener, Ryan, Harrington, Joseph, Jenkins, James, Kurtovic, Nicolas T., Ramirez, Ricardo, Pena, Jose, McIntyre, Kathleen J., Himes, Michael D., Rodriguez, Eloy, Anglada-Escude, Guillem, Dreizler, Stefan, Ofir, Aviv, Ribas, Ignasi, Rojo, Patricio, Kipping, David, Butler, R. Paul, Amado, Pedro J., Rodriguez-Lopez, Cristina, Kempton, Eliza M. R., Palle, Enric, Murgas, Felipe
This compendium contains the light curves presented in Chapter 2 of
Ryan Challener's dissertation entitled
"Exoplanets: Correlated Noise and Cautionary Tales"
The dissertation is available through the University of Central
Florida Electronic Thesis and Dissertation services.
The review process for the publication of this chapter may require
revisions, so please be sure that you find the compendium associated
with the paper, rather than the dissertation, if the paper has been
These are the light curves with the lowest binned-sigma chi-squared
listed in Table 3 for the three observation considered in the
paper. Both PLD and BLISS modeling results are contained within.
The 'lsvids' directory contains the windowed Lomb-Scargle videos.
This reproducible-research compendium contains all files and commands
necessary to reproduce the atmospheric results of Chapter 3 of Ryan
Challener's dissertation entitled
"Exoplanets: Correlated Noise and Cautionary Tales"
The review process for the publication of this chapter may
require revisions, so please be sure that you find the compendium
associated with the paper, rather than the dissertation, if the paper
has been published.
This repository makes use of the Bayesian Atmospheric Radiative
Transfer code (BART, https://github.com/exosports/BART), and was created
in accordance with BART's license.
All commands necessary to produce the output are in compendium.sh.
File paths have been left as they are on my machine, so as to not change
any configuration files. The user may change the paths if they desire,
but they must make the corresponding changes in the configuration files.
All outputs used in the paper can be found in the output directory,
which is subdivided according to the inputs.
The lightcurves directory contains FITS files and InfraRed Science
Archive (IRSA) tables with photometry, centering, and modeling
information for all observations.
The lcplots directory contains diagnostic plots from light-curve
The scripts directory contains scripts used to process the
BART outputs to make the plots used in the paper.
Contributors:George Datseris, Lukas Hupe, Diego Tapias, Jeffrey Lin, Kristoffer Carlsson, Tony Kelman, Morten Piibeleht, Troels Arnfred Bojesen, Scott P. Jones, Julia TagBot, Elliot Saba, Christopher Rackauckas
Contributors:BJ Fulton, Sarah Blunt, Spencer Hurt, Sean Mills, cpsdoppler, sinukoff, Sam Hadden, Luke Bouma, zhexingli, iancrossfield, Leonardo dos Santos, Björn Benneke, Lauren Weiss, Samuel Yee, Lee Rosenthal, Lea Hirsch, Erik Petigura, Dan Foreman-Mackey
Hotfix for a bug in the reported lnprob values from MCMC. See PR #307 for details.
Contributors:Jarrett Revels, Valentin Churavy, Tim Besard, Lyndon White, Twan Koolen, Mike J Innes, Nathan Daly, Rogerluo, Robin Deits, Morten Piibeleht, Moritz Schauer, Kristoffer Carlsson, Keno Fischer, Chris de Graaf
Diff since v0.3.2
Typed IR passes (#67)
Tracing Julia code execution via Cassette? (#96)
Renamed @overdub to @recurse ? (#121)
PkgEval for 1.3 (#143)
Subtrace test broken on 1.4 (#161)
Something with tagging is broken in 1.4 (#165)
Tag new version (#171)
Merged pull requests:
Check for keyword function names differently on 1.4+ (#173) (@christopher-dG)
This dataset consist of two vector files which show the change in the building stock of the City of DaNang retrieved from satellite image analysis. Buildings were first identified from a Pléiades satellite image from 24.10.2015 and classified into 9 categories in a semi-automatic workflow desribed by Warth et al. (2019) and Vetter-Gindele et al. (2019).
In a second step, these buildings were inspected for changes based on a second Pléiades satellite image acquired on 13.08.2017 based on visual interpretation. Changes were also classified into 5 categories and aggregated by administrative wards (first dataset: adm) and a hexagon grid of 250 meter length (second dataset: hex).
The full workflow of the generation of this dataset, including a detailled description of its contents and a discussion on its potential use is published by Braun et al. 2020: Changes in the building stock of DaNang between 2015 and 2017
Both datasets (adm and hex) are stored as ESRI shapefiles which can be used in common Geographic Information Systems (GIS) and consist of the following parts:
shp: polygon geometries (geometries of the administrative boundaries and hexagons)
dbf: attribute table (containing the number of buildings per class for 2015 and 2017 and the underlying changes (e.g. number of new buildings, number of demolished buildings, ect.)
shx: index file combining the geometries with the attributes
cpg: encoding of the attributes (UTF-8)
prj: spatial reference of the datasets (UTM zone 49 North, EPSG:32649) for ArcGIS
qpj: spatial reference of the datasets (UTM zone 49 North, EPSG:32649) for QGIS
lyr: symbology suggestion for the polygons(predefined is the number of local type shophouses in 2017) for ArcGIS
qml: symbology suggestion for the polygons (predefined is the number of new buildings between 2015 and 2017) for QGIS
Citation and documentation
To cite this dataset, please refer to the publication
Braun, A.; Warth, G.; Bachofer, F.; Quynh Bui, T.T.; Tran, H.; Hochschild, V. (2020): Changes in the Building Stock of Da Nang between 2015 and 2017. Data, 5, 42. doi:10.3390/data5020042
This article contains a detailed description of the dataset, the defined building type classes and the types of changes which were analyzed. Furthermore, the article makes recommendations on the use of the datasets and discusses potential error sources.