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@book{lovelace_geocomputation_2019,
title = {Geocomputation with {{R}}},
isbn = {1-138-30451-4},
abstract = {Book on geographic data with R.},
publisher = {{CRC Press}},
author = {Lovelace, Robin and Nowosad, Jakub and Muenchow, Jannes},
year = {2019}
}
@misc{ wiki:xxx,
author = "Wikipedia",
title = "Web scraping --- Wikipedia{,} L'enciclopedia libera",
year = "2020",
url = "http://it.wikipedia.org/w/index.php?title=Web_scraping&oldid=112540647",
note = "[Online; in data 15-luglio-2020]"
}
@article{article,
author = {Fotheringham, Alexander and Brunsdon, Chris and Charlton, Martin},
year = {2002},
month = {01},
title = {Geographically Weighted Regression: The Analysis of Spatially Varying Relationships},
volume = {13},
journal = {John Wiley \& Sons Ltd}
}
@article{Rue2009,
doi = {10.1111/j.1467-9868.2008.00700.x},
url = {https://doi.org/10.1111/j.1467-9868.2008.00700.x},
year = {2009},
month = apr,
publisher = {Wiley},
volume = {71},
number = {2},
pages = {319--392},
author = {H{\aa}vard Rue and Sara Martino and Nicolas Chopin},
title = {Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations},
journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)}
}
@misc{ wiki:scheduler,
author = "Wikiversità",
title = "Scheduling --- Wikiversità{,} ",
year = "2020",
url = "https://it.wikiversity.org/w/index.php?title=Scheduling&oldid=214572",
note = "[Online; accesso il 15-settembre-2020]"
}
@misc{ wiki:cronjob,
author = "{Wikipedia contributors}",
title = "Cron --- {Wikipedia}{,} The Free Encyclopedia",
year = "2020",
url = "https://en.wikipedia.org/w/index.php?title=Cron&oldid=978051592",
note = "[Online; accessed 15-September-2020]"
}
@misc{red_hat_customer_portal,
title={7.2. Advantages of Using Docker Red Hat Enterprise Linux 7},
url={https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/7/html/7.0_release_notes/sect-red_hat_enterprise_linux-7.0_release_notes-linux_containers_with_docker_format-advantages_of_using_docker},
year = "2020",
author = {Red Hat Inc.},
journal={Red Hat Customer Portal}
}
@misc{docker_documentation_2020,
title={Get Docker},
url={https://docs.docker.com/get-docker/},
journal={Docker Documentation},
author = {Docker Inc.},
year={2020},
month={Sep}
}
@misc{api_generator_for_r,
title={An API Generator for R},
url={https://www.rplumber.io/},
authors = {Barret Schloerke, Jeff Allen, RStudio},
year={2020},
journal={An API Generator for R}
}
@misc{whoishostingthis.com,
title={User Agent: Learn Your Web Browsers User Agent Now},
url={https://www.whoishostingthis.com/tools/user-agent/},
journal={WhoIsHostingThis.com},
author = {WhoIsHostingThis.com},
year={2020},
month={Feb}
}
@misc{google:robottxt,
title={Presentazione dei file robots.txt - Guida di Search Console},
url={https://support.google.com/webmasters/answer/6062608?hl=it},
journal={Google},
author = {Google},
year={2020},
publisher={Google}
}
@misc{densmore_2019,
title={Ethics in Web Scraping},
url={https://towardsdatascience.com/ethics-in-web-scraping-b96b18136f01},
journal={Medium},
publisher={Towards Data Science},
author={Densmore, James},
year={2019},
month={Jul}
}
@book{Banerjee-Gelfand,
doi = {10.1201/b17115},
url = {https://doi.org/10.1201/b17115},
year = {2014},
month = sep,
publisher = {Chapman and Hall/{CRC}},
author = {Sudipto Banerjee and Bradley P. Carlin and Alan E. Gelfand},
title = {Hierarchical Modeling and Analysis for Spatial Data}
}
@book{Blangiardo-Cameletti,
title = {Spatial and Spatio-temporal Bayesian Models with R-INLA},
author = {Blangiardo, Marta; Cameletti, Michela},
publisher = {Wiley},
isbn = {1118326555, 9781118326558},
year = {2015},
series = {},
edition = {},
volume = {}
}
@book{Plant,
title = {Spatial Data Analysis in Ecology and Agriculture Using R},
author = {Richard E. Plant},
publisher = {CRC Press},
isbn = {9780815392750},
year = {2019},
series = {},
edition = {2nd},
volume = {}
}
@book{Krainski-Rubio,
title = {Advanced spatial modeling with stochastic partial differential equations using R and INLA},
author = {Krainski, Elias T},
publisher = {Chapman and Hall/{CRC}},
isbn = {9781138369856,1138369853},
year = {2019}
}
@book{Xiaofeng-Faraway,
title = {Bayesian Regression Modeling with Inla},
author = {Faraway, Julian James; Wang, Xiaofeng; Yue, Yu},
publisher = {CRC Press},
isbn = {9781498727259,1498727255,9781351165747,1351165747,9781351165761,1351165763,9781498727266,1498727263},
year = {2018},
series = {Chapman \& Hall/CRC Computer Science \& Data Analysis},
edition = {},
volume = {}
}
@book{Moraga2019,
doi = {10.1201/9780429341823},
url = {https://doi.org/10.1201/9780429341823},
year = {2019},
month = nov,
publisher = {Chapman and Hall/{CRC}},
author = {Paula Moraga},
title = {Geospatial Health Data}
}
@book{Rue-Held-2005,
doi = {10.1201/9780203492024},
url = {https://doi.org/10.1201/9780203492024},
year = {2005},
isbn = {9780203492024,9781584884323,1584884320},
month = feb,
publisher = {Chapman and Hall/{CRC}},
author = {Havard Rue and Leonhard Held},
title = {Gaussian Markov Random Fields}
}
@book{Krainski2018,
doi = {10.1201/9780429031892},
url = {https://doi.org/10.1201/9780429031892},
year = {2018},
month = dec,
publisher = {Chapman and Hall/{CRC}},
author = {Elias Krainski and Virgilio G{\'{o}}mez-Rubio and Haakon Bakka and Amanda Lenzi and Daniela Castro-Camilo and Daniel Simpson and Finn Lindgren and H{\aa}vard Rue},
title = {Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and {INLA}}
}
@book{Graph_Diestel,
title = {Graph theory},
author = {Reinhard Diestel},
publisher = {Springer},
isbn = {9783540261834,3540261834},
year = {2006},
series = {Graduate Texts in Mathematics},
edition = {3rd}
}
@article{Hedonic_Analysis_of_Rent,
ISSN = {00420980, 1360063X},
URL = {http://www.jstor.org/stable/43196351},
abstract = {In this paper, an analysis is made of what would be the rent difference for the tenants of subsidised units if these units were rented as unsubsidised units. Furthermore, the existence of any pecuniary disadvantage for the owner of a subsidised unit is investigated by considering his rental revenue (i.e. the amount paid by the tenant and the subsidy). It is found that there exists a premium between an unsubsidised and a subsidised unit when using the amount paid by the tenant (i.e. the rent) as the dependent variable. Also, the subsidy system in Geneva has an influence on the pricing of each characteristic of a unit. Furthermore, it is found that when using rental revenue as the dependent variable, both sub-samples can be used in a single hedonic equation. Thus, owners of subsidised units are not at a disadvantage due to the granting of a subsidy. As a result, Geneva's subsidy system matches the goals of agents on both the demand and supply sides.},
author = {Sandra Büchel and Martin Hoesli},
journal = {Urban Studies},
number = {7},
pages = {1199-1213},
publisher = {Temporary Publisher},
title = {A Hedonic Analysis of Rent and Rental Revenue in the Subsidised and Unsubsidised Housing Sectors in Geneva},
volume = {32},
year = {1995}
}
@inproceedings{sellingVSrental,
author = {Manganelli, Benedetto and Morano, Pierluigi and Tajani, Francesco},
year = {2013},
month = {09},
pages = {},
title = {Economic relationships between selling and rental prices in the Italian housing market}
}
@article{Capozza_Seguin_1996,
author = {Capozza, Dennis and Seguin, Paul},
year = {1996},
month = {02},
pages = {369-386},
title = {Expectations, Efficiency, and Euphoria in the Housing Market},
volume = {26},
journal = {Regional Science and Urban Economics},
doi = {10.1016/0166-0462(95)02120-5}
}
@article{Clark_1995,
author={Clark, Todd E.},
title={{Rents and prices of housing across areas of the United States. A cross-section examination of the present value model}},
journal={Regional Science and Urban Economics},
year={1995},
volume={25},
number={2},
pages={237-247},
month={April},
keywords={},
doi={},
abstract={No abstract is available for this item.},
url={https://ideas.repec.org/a/eee/regeco/v25y1995i2p237-247.html}
}
@article{Herath_Maier_2011,
author = {Herath, Shanaka and Maier, Gunther},
year = {2011},
month = {01},
pages = {39-49},
title = {Hedonic house prices in the presence of spatial and temporal dynamics},
volume = {1},
journal = {Territorio Italia - Land Administration Cadastre, Real Estate}
}
@book{Bayesian_INLA_Rubio,
author = {Gómez Rubio, Virgilio},
year = {2020},
month = {02},
title = {Bayesian Inference with INLA},
isbn = {9781138039872},
publisher = {Chapman and Hall/{CRC}},
doi = {10.1201/9781315175584}
}
@article{PACI2017149,
title = {Analysis of residential property sales using space–time point patterns},
journal = {Spatial Statistics},
volume = {21},
pages = {149 - 165},
year = {2017},
issn = {2211-6753},
doi = {https://doi.org/10.1016/j.spasta.2017.06.007},
url = {http://www.sciencedirect.com/science/article/pii/S2211675317300143},
author = {Lucia Paci and María Asunción Beamonte and Alan E. Gelfand and Pilar Gargallo and Manuel Salvador},
keywords = {Empirical coverage, Log-Gaussian Cox process, Nearest neighbor Gaussian process, Nonhomogeneous Poisson process, Ranked probability scores},
abstract = {Customarily, for housing markets, interest focuses on selling prices of properties at locations and times. Hedonic models are employed using property-level, neighborhood-level, and economic regressors. However, in hedonic modeling the fact that the locations and times of property transactions are random is ignored. Here, we focus on explanation of the locations of transactions in space and time, viewing them as a point pattern over space and time. Our contribution is to explain such a point pattern using suitable regressors. We examine two explanatory models, the nonhomogeneous Poisson process and the log Gaussian Cox process. We study a point pattern in the city of Zaragoza, Spain, over the years, 2006–2014. We argue for point level modeling since the process of property sales operates at that scale. We elaborate efficient computation for fitting the foregoing models to the Zaragoza data. We show how the modeling enables rich inference and extraction of novel stories for this market over this time period. In addition, we clarify the potential benefits of this modeling for brokers, buyers, and administrators. To our knowledge, this is the first application of formal space–time point pattern analysis to locations of urban real estate transactions.}
}
@book{Cressie_2015,
title = {Statistics for Spatial Data},
author = {Noel Cressie},
publisher = {Wiley-Interscience},
year = {2015},
series = {Probability and Mathematical Statistics},
edition = {Revised Edition}
}
@article{Cameletti2012,
doi = {10.1007/s10182-012-0196-3},
url = {https://doi.org/10.1007/s10182-012-0196-3},
year = {2012},
month = may,
publisher = {Springer Science and Business Media {LLC}},
volume = {97},
number = {2},
pages = {109--131},
author = {Michela Cameletti and Finn Lindgren and Daniel Simpson and H{\aa}vard Rue},
title = {Spatio-temporal modeling of particulate matter concentration through the {SPDE} approach},
journal = {{AStA} Advances in Statistical Analysis}
}
@article{Lindgren2011,
doi = {10.1111/j.1467-9868.2011.00777.x},
url = {https://doi.org/10.1111/j.1467-9868.2011.00777.x},
year = {2011},
month = aug,
publisher = {Wiley},
volume = {73},
number = {4},
pages = {423--498},
author = {Finn Lindgren and H{\aa}vard Rue and Johan Lindstr\"{o}m},
title = {An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach},
journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)}
}
@article{blanchetscalliet,
title = {{Four algorithms to construct a sparse kriging kernel for dimensionality reduction}},
author = {Blanchet-Scalliet, Christophette and Helbert, C{\'e}line and Ribaud, M{\'e}lina and Vial, C{\'e}line},
url = {https://hal.archives-ouvertes.fr/hal-01496521},
journal = {{Computational Statistics}},
publisher = {{Springer Verlag}},
pages = {1-21},
year = {2019},
keywords = {anisotropic ; metamodel ; clustering ; isotropic},
pdf = {https://hal.archives-ouvertes.fr/hal-01496521v3/file/article.pdf}
}
@book{GMRFRue,
doi = {10.1201/9780203492024},
url = {https://doi.org/10.1201/9780203492024},
year = {2005},
month = feb,
publisher = {Chapman and Hall/{CRC}},
author = {Havard Rue and Leonhard Held},
title = {Gaussian Markov Random Fields}
}
@article{Miller2019,
doi = {10.1007/s13253-019-00377-z},
url = {https://doi.org/10.1007/s13253-019-00377-z},
year = {2019},
month = sep,
publisher = {Springer Science and Business Media {LLC}},
volume = {25},
number = {1},
pages = {1--16},
author = {David L. Miller and Richard Glennie and Andrew E. Seaton},
title = {Understanding the Stochastic Partial Differential Equation Approach to Smoothing},
journal = {Journal of Agricultural, Biological and Environmental Statistics}
}
@inbook{Malpezzi,
author = {Malpezzi, Stephen},
year = {2008},
month = {02},
pages = {67-89},
title = {Hedonic Pricing Models: A Selective and Applied Review},
isbn = {9780632064618},
doi = {10.1002/9780470690680.ch5}
}
@article{Ling,
author = {Ling, Yuheng},
year = {2019},
month = {04},
pages = {28},
title = {Time, space and hedonic prediction accuracy evidence from the Corsican apartment market},
journal = {The Annals of Regional Science},
doi = {10.1007/s00168-019-00967-2}
}
@article{Lancaster,
issn = {00223808, 1537534X},
url = {http://www.jstor.org/stable/1828835},
author = {Kelvin J. Lancaster},
journal = {Journal of Political Economy},
number = {2},
pages = {132--157},
publisher = {University of Chicago Press},
title = {A New Approach to Consumer Theory},
volume = {74},
year = {1966}
}
@book{Kuhn,
doi = {10.1201/9781315108230},
url = {https://doi.org/10.1201/9781315108230},
year = {2019},
month = jul,
publisher = {Chapman and Hall/{CRC}},
author = {Max Kuhn and Kjell Johnson},
title = {Feature Engineering and Selection}
}
@article{Rosen,
issn = {00223808, 1537534X},
url = {http://www.jstor.org/stable/1830899},
author = {Sherwin Rosen},
journal = {Journal of Political Economy},
number = {1},
pages = {34--55},
publisher = {University of Chicago Press},
title = {Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition},
volume = {82},
year = {1974}
}
@misc{what_is_a_rest_api,
url={https://www.redhat.com/en/topics/api/what-is-a-rest-api},
journal={What is a REST API?},
publisher={Red Hat},
year = {2018}
}
@inbook{Little,
author = {Little, Roderick and Rubin, Donald},
year = {2014},
month = {08},
pages = {200-220},
title = {Statistical Analysis with Missing Data, Second Edition},
isbn = {9780471183860},
doi = {10.1002/9781119013563.ch10}
}
@misc{html_2020,
title = {HTML},
url = {https://en.wikipedia.org/wiki/HTML},
journal = {Wikipedia},
publisher = {Wikimedia Foundation},
year = {2020},
month = {Oct}
}
@misc{css_2020,
title = {CSS},
url = {https://en.wikipedia.org/wiki/CSS},
journal = {Wikipedia},
publisher = {Wikimedia Foundation},
year = {2020},
month = {Nov}
}
@misc{Javascript_2020,
title = {JavaScript},
url = {https://en.wikipedia.org/wiki/JavaScript},
journal = {Wikipedia},
publisher = {Wikimedia Foundation},
year = {2020},
month = {Nov}
}
@misc{TDD_2004,
title = {Test driven development},
url = {https://en.wikipedia.org/wiki/Test_driven_development},
journal = {Wikipedia},
publisher = {Wikimedia Foundation},
year = {2004},
month = {Jul}
}
@misc{top_tech_skills,
title = {Indeed Tech Skills Explorer: Today's Top Tech Skills},
url = {https://www.hiringlab.org/2019/11/19/todays-top-tech-skills/},
journal = {Indeed Hiring Lab},
author = {Andrew Flowers},
year = {2020},
month = {Mar}
}
@misc{barney,
title = {Introduction to Parallel Computing},
url = {https://computing.llnl.gov/tutorials/parallel_comp/},
journal = {Introduction to Parallel Computing},
author = {Barney, Blaise},
publisher = {U.S. Department of Energy by Lawrence Livermore National Laborator},
year = {2020}
}
@misc{parallelr,
title={What is Parallel Computing},
publisher = {parallelr},
url={http://www.parallelr.com/r-with-parallel-computing/},
journal={ParallelR},
year = {2020}
}
@book{Rdatascience,
title = {R for Data Science: Import, Tidy, Transform, Visualize, and Model Data},
author = {Hadley Wickham, Garrett Grolemund},
publisher = {O’Reilly Media},
isbn = {1491910399,9781491910399},
year = {2017},
edition = {1}
}
@misc{colin_fay_2020,
url={https://engineering-shiny.org/},
journal={Engineering Production-Grade Shiny Apps},
author={Colin Fay, Sébastien Rochette},
year={2020},
month={Nov}
}
@misc{meissner_2020,
url={https://cran.r-project.org/web/packages/robotstxt/vignettes/using_robotstxt.html},
journal={Using Robotstxt},
author={Meissner, Peter},
year={2020},
month={Sep}
}
@misc{UaDef,
author = {User:Jallan},
title = {Definition of User Agent - WAI UA Wiki},
url = {https://www.w3.org/WAI/UA/work/wiki/Definition_of_User_Agent},
month = {June},
year = {2011},
note = {Accessed on 12/04/2020}
}
@misc{wiki:UserAgent,
author = {Wikipedia contributors},
title = {User agent --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=User_agent&oldid=992080962},
note = {Online; accessed 4-December-2020}
}
@misc{wiki:UserAgentHints,
author = {Wikipedia contributors},
title = {HTTP Client Hints --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=HTTP_Client_Hints&oldid=972093401},
note = {Online; accessed 4-December-2020}
}
@misc{wiki:RobotsExclusionStandard,
author = {Wikipedia contributors},
title = {Robots exclusion standard --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=Robots_exclusion_standard&oldid=991385881},
note = {Online; accessed 4-December-2020}
}
@misc{wiki:DOS,
author = {Wikipedia contributors},
title = {Denial-of-service attack --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=Denial-of-service_attack&oldid=991730165},
note = {Online; accessed 4-December-2020}
}
@article{BakerFuture,
author = {Baker, Henry C. and Hewitt, Carl},
title = {The Incremental Garbage Collection of Processes},
year = {1977},
issue_date = {August 1977},
publisher = {Association for C
omputing Machinery},
address = {New York, NY, USA},volume = {12},
number = {8},
issn = {0362-1340},
url = {https://doi.org/10.1145/872734.806932},
doi = {10.1145/872734.806932},
abstract = { This paper investigates some problems associated with an argument evaluation order that we call “future” order, which is different from both call-by-name and call-by-value, In call-by-future, each formal parameter of a function is bound to a separate process (called a “future”) dedicated to the evaluation of the corresponding argument. This mechanism allows the fully parallel evaluation of arguments to a function, and has been shown to augment the expressive power of a language. We discuss an approach to a problem that arises in this context: futures which were thought to be relevant when they were created become irrelevant through being ignored in the body of the expression where they were bound. The problem of irrelevant processes also appears in multiprocessing problem-solving systems which start several processors working on the same problem but with different methods, and return with the solution which finishes first. This parallel method strategy has the drawback that the processes which are investigating the losing methods must be identified, stopped, and re-assigned to more useful tasks. },
journal = {SIGPLAN Not.},
month = {Aug},
pages = {55–59},
numpages = {5},
keywords = {Eager evaluation, Processor scheduling, Garbage collection, Lazy evaluation, Multiprocessing systems}
}
@misc{wiki:forking,
author = {Wikipedia contributors},
title = {Fork (system call) --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=Fork_(system_call)&oldid=989449307},
note = {Online; accessed 5-December-2020}
}
@article{docker,
title={Docker: lightweight linux containers for consistent development and deployment},
author={Merkel, Dirk},
journal={Linux journal},
volume={2014},
number={239},
pages={2},
year={2014}
}
@misc{eddelbuettel2020parallel,
title={Parallel Computing With R: A Brief Review},
author={Dirk Eddelbuettel},
year={2020},
eprint={1912.11144},
archivePrefix={arXiv},
primaryClass={stat.CO}
}
@misc{bengtsson_2017,
author = {Henrik Bengtsson},
title = {A Unifying Framework for Parallel and Distributed Processing in R using Futures},
year = {2020},
month = {aug},
eprint = {2008.00553},
archiveprefix = {arXiv},
primaryclass = {cs.DC},
url = {https://arxiv.org/abs/2008.00553},
}
@inbook{automateddatacollection,
publisher = {John Wiley \& Sons Ltd},
isbn = {9781118834732},
title = {Scraping the Web},
booktitle = {Automated Data Collection with R},
chapter = {9},
pages = {219-294},
doi = {https://doi.org/10.1002/9781118834732.ch9},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118834732.ch9},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118834732.ch9},
year = {2014},
keywords = {JavaScript-enriched pages, Selenium, web scraping},
abstract = {Summary This chapter addresses three main aspects of web scraping with R. The first is how to retrieve data from the Web in different scenarios. The chapter looks at the stage where one can try to get resources from servers into R. It provides an introduction to Selenium, a browser automation tool that can be used to gather content from JavaScript-enriched pages. The chapter turns to strategies for extracting information from gathered resources. It sheds light on these techniques from a more practical perspective, providing a stylized sketch of the strategies and discuss their advantages and disadvantages. The chapter addresses an important, but sometimes disregarded aspect of web scraping. It deals with the question of how to behave nicely on the Web as a web scraper. The chapter concludes with a glimpse of ongoing efforts for giving R more interfaces with web data and on lighthouses of web scraping more generally.}
}
@misc{wiki:url,
author = {Wikipedia contributors},
title = {URL --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=URL&oldid=993575641},
note = {Online; accessed 14-December-2020}
}
@article{zamora2019making,
title={Making Room for Big Data: Web Scraping and an Affirmative Right to Access Publicly Available Information Online},
author={Zamora, Amber},
journal={J. Bus. Entrepreneurship \& L.},
volume={12},
pages={203},
year={2019},
publisher={HeinOnline}
}
@misc{Anatomyo72,
author = {Doepud},
title = {Anatomy of a URL},
url = {https://doepud.co.uk/blog/anatomy-of-a-url},
month = {mar},
year = {2010},
note = {Accessed on 12/14/2020}
}
@misc{wiki:cleanurl,
author = {Wikipedia contributors},
title = {Clean URL --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=Clean_URL&oldid=993040878},
note = {Online; accessed 14-December-2020}
}
@misc{Selectorgadget,
author = {Andrew Cantino and Kyle Maxwell},
title = {SelectorGadget: point and click CSS selectors},
url = {https://selectorgadget.com/},
month = {Aug},
year = {2013},
note = {(Accessed on 12/16/2020)}
}
@misc{UserAgen23,
author = {UserAgentString.com},
title = {UserAgentString.com - Chrome version 81.0.4044.110},
url = {http://useragentstring.com/index.php},
month = {},
year = {1999},
note = {(Accessed on 12/21/2020)}
}
@misc{wiki:logger,
author = {Wikipedia contributors},
title = {Log file --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=Log_file&oldid=982094313},
note = {[Online; accessed 22-December-2020]}
}
@misc{nginxDocs,
author = {NGINX},
title = {What is a Reverse Proxy Server? | NGINX},
url = {https://www.nginx.com/resources/glossary/reverse-proxy-server/},
month = {Aug},
year = {2014},
note = {(Accessed on 12/22/2020)}
}
@misc{azureNGINX,
author = {Microsoft},
title = {Gateway API - Azure Architecture Center | Microsoft Docs},
url = {https://docs.microsoft.com/it-it/azure/architecture/microservices/design/gateway},
month = {Oct},
year = {2018},
note = {(Accessed on 12/23/2020)}
}
@misc{nolispmanager,
author = {Jacqueline Nolis},
title = {R Docker faster. Suddenly R Docker images build much… | Medium},
url = {https://medium.com/@skyetetra/r-docker-faster-28e13a6d241d},
publisher = {Medium},
month = {JUl},
year = {2020},
note = {(Accessed on 12/24/2020)}
}
@misc{swaggerUI,
author = {SMARTBEAR},
title = {REST API Documentation Tool | Swagger UI},
url = {https://swagger.io/tools/swagger-ui/},
month = {},
year = {2019},
note = {(Accessed on 12/27/2020)}
}
@article{krotovtennyson,
author = {Krotov, Vlad and Tennyson, Matthew},
year = {2018},
month = {10},
pages = {},
title = {Tutorial: Web Scraping in the R Language}
}
@inproceedings{LegalityEthicsWS,
author = {Krotov, Vlad and Silva, Leiser},
year = {2018},
month = {09},
pages = {},
title = {Legality and Ethics of Web Scraping}
}
@misc{ciscooutlook,
author = {White Paper - Cisco},
title = {Cisco Annual Internet Report - Cisco Annual Internet Report (2018–2023)},
url = {https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html},
month = {Mar},
year = {2020},
note = {(Accessed on 12/28/2020)}
}
@misc{wiki:XML,
author = {Wikipedia contributors},
title = {XML --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=XML&oldid=996126068},
note = {[Online; accessed 28-December-2020]}
}
@misc{wiki:JSON,
author = {Wikipedia contributors},
title = {JSON --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=JSON&oldid=996681350},
note = {[Online; accessed 28-December-2020]}
}
@misc{wiki:Javascript,
author = {Wikipedia contributors},
title = {JavaScript --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=JavaScript&oldid=996480090},
note = {[Online; accessed 28-December-2020]}
}
@article{wsstatistics,
author = {Dogucu, Mine and Cetinkaya, Mine},
year = {2020},
month = {07},
pages = {1-24},
title = {Web Scraping in the Statistics and Data Science Curriculum: Challenges and Opportunities},
journal = {Journal of Statistics Education},
doi = {10.1080/10691898.2020.1787116}
}
@misc{YT:Rue,
author = {Centre International de Rencontres Mathématiques},
title = {Håvard Rue: Bayesian computation with INLA},
url = {https://www.youtube.com/watch?v=a8QvxCjWieg&t=2538s},
organization = {Youtube},
month = {Nov},
year = {2018},
note = {(Accessed on 12/28/2020), speech originally }
}
@misc{WhatCour57,
author = {ALM Media},
title = {What Courts Have Said About the Legality of Data Scraping},
url = {https://finance.yahoo.com/news/courts-said-legality-data-scraping-090000366.html},
month = {July},
year = {2017},
note = {(Accessed on 12/29/2020)}
}
@misc{Kitchens81,
author = {MERRIAM-WEBSTER},
title = {Kitchen-sink | Definition of Kitchen-sink by Merriam-Webster},
url = {https://www.merriam-webster.com/dictionary/kitchen-sink},
month = {},
year = {2018},
note = {(Accessed on 12/29/2020)}
}
@misc{ADetaile90,
author = {Vimal Maheedharan},
title = {A Detailed Overview of Web Crawlers},
url = {https://www.cabotsolutions.com/a-detailed-overview-of-web-crawlers/},
month = {Nov},
year = {2016},
note = {(Accessed on 12/29/2020)}
}
@misc{TheInter5,
author = {Adrienne LaFrance},
title = {The Internet Is Mostly Bots - The Atlantic},
howpublished = {\url{https://www.theatlantic.com/technology/archive/2017/01/bots-bots-bots/515043/}},
month = {Jan},
year = {2017},
note = {(Accessed on 12/29/2020)}
}
@article{peterson2003consumer,
title={Consumer information search behavior and the Internet},
author={Peterson, Robert A and Merino, Maria C},
journal={Psychology \& Marketing},
volume={20},
number={2},
pages={99--121},
year={2003},
publisher={Wiley Online Library}
}
@misc{Letterfr71,
author = {LinkedIn Corporation},
title = {Letter from LinkedIn to HiQ Labs},
url = {https://static1.squarespace.com/static/5803b57737c581885cbd0667/t/59721e45725e2539a60bb195/1},
month = {May},
year = {2017},
note = {(Accessed on 01/02/2021)}
}
@misc{hiQLabsI66,
author = {Edward G. Black, Patrick J. Reinikainen},
title = {hiQ Labs, Inc. v. LinkedIn Corp.: A Federal Court Weighs in on Web Scraping, Free Speech Rights, and the Computer Fraud and Abuse Act | Casetext},
url = {https://casetext.com/analysis/hiq-labs-inc-v-linkedin-corp-a-federal-court-weighs-in-on-web-scraping-free-speech-rights-and-the-computer-fraud-and-abuse-act-1?sort=relevance&resultsNav=false},
month = {Sep},
year = {2017},
note = {(Accessed on 01/02/2021)}
}
@misc{wiki:HiQvsLinkedIn,
author = {Wikipedia contributors},
title = {HiQ Labs v. LinkedIn --- {Wikipedia}{,} The Free Encyclopedia},
year = {2020},
url = {https://en.wikipedia.org/w/index.php?title=HiQ_Labs_v._LinkedIn&oldid=960556303},
note = {[Online; accessed 2-January-2021]}
}
@misc{immobiliareterms,
author = {immobiliare.it},
title = {Condizioni generali - Immobiliare.it},
url = {https://www.immobiliare.it/terms/},
month = {},
year = {2020},
note = {(Accessed on 01/02/2021)}
}
@misc{dockervolumes,
author = {Docker Inc.},
title = {Use volumes | Docker Documentation},
url = {https://docs.docker.com/storage/volumes/},
month = {Dec},
year = {2020},
note = {(Accessed on 01/03/2021)}
}
@book{mcmc,
author = {Brooks, S. and Gelman, A. and Jones, G.L. and Meng, X.-L},
year = {2011},
month = {05},
pages = {1-592},
title = {Handbook of Markov Chain Monte Carlo},
journal = {Handbook of Markov Chain Monte Carlo}
}
@misc{LecturePaci,
author = {Paci, Lucia},
institution = {Università Cattolica del Sacro Cuore, Milano (UCSC)},
month = {Feb},
year = {2020},
title = {Statistical models for high dimensional and spatio-temporal data}
}
@misc{YT:paumoraga,
author = {Moraga, Paula},
year = {2020},
month = {set},
title = {Spatial modeling and interactive visualization with the R-INLA package},
url = {https://www.youtube.com/watch?v=Tdb5EPczE9E&t=5094s},
}
@article{BLANGIARDO201339,
title = {Spatial and spatio-temporal models with R-INLA},
journal = {Spatial and Spatio-temporal Epidemiology},
volume = {7},
pages = {39 - 55},
year = {2013},
issn = {1877-5845},
doi = {https://doi.org/10.1016/j.sste.2013.07.003},
url = {http://www.sciencedirect.com/science/article/pii/S1877584513000336},
author = {Marta Blangiardo and Michela Cameletti and Gianluca Baio and Håvard Rue},
keywords = {Integrated Nested Laplace Approximation, Stochastic Partial Differential Equation approach, Bayesian approach, Area-level data, Point-level data},
abstract = {During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has opened the doors of Bayesian modelling to the wide research community. However model complexity and database dimension still remain a constraint. Recently the use of Gaussian random fields has become increasingly popular in epidemiology as very often epidemiological data are characterised by a spatial and/or temporal structure which needs to be taken into account in the inferential process. The Integrated Nested Laplace Approximation (INLA) approach has been developed as a computationally efficient alternative to MCMC and the availability of an R package (R-INLA) allows researchers to easily apply this method. In this paper we review the INLA approach and present some applications on spatial and spatio-temporal data.}
}
@incollection{SHEPPARD19991595,
title = {Chapter 41 Hedonic analysis of housing markets},
series = {Handbook of Regional and Urban Economics},
publisher = {Elsevier},
volume = {3},
pages = {1595 - 1635},
year = {1999},
booktitle = {Applied Urban Economics},
issn = {1574-0080},
doi = {https://doi.org/10.1016/S1574-0080(99)80010-8},
url = {http://www.sciencedirect.com/science/article/pii/S1574008099800108},
author = {Stephen Sheppard},
keywords = {Housing attribute demand, Hedonic prices},
abstract = {This chapter examines the hedonic analysis of housing markets. These techniques have been widely applied in studies of the demand for housing attributes and environmental amenities. The chapter discusses the theoretical foundation of hedonic analysis, the use of hedonic estimates of demand for welfare analysis, the empirical difficulties that arise in such studies, and some of the methods for overcoming these difficulties.}
}
@article{clapp,
author={Clapp, John M},
title={{A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation}},
journal={The Journal of Real Estate Finance and Economics},
year=2003,
volume={27},
number={3},
pages={303-320},
month={November},
keywords={},
doi={https://doi.org/10.1023/A:1025838007297},
abstract={This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value. Copyright 2003 by Kluwer Academic Publishers},
url={https://ideas.repec.org/a/kap/jrefec/v27y2003i3p303-20.html}
}
@article{buja1989,
author = {Buja, Andreas and Hastie, Trevor and Tibshirani, Robert},
doi = {10.1214/aos/1176347115},
fjournal = {Annals of Statistics},
journal = {Ann. Statist.},
month = {Jul},
number = {2},
pages = {453--510},
publisher = {The Institute of Mathematical Statistics},
title = {Linear Smoothers and Additive Models},
url = {https://doi.org/10.1214/aos/1176347115},
volume = {17},
year = {1989}
}
@article{kammanwand,
author = {Kammann, E. E. and Wand, M. P.},
title = {Geoadditive models},
journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)},
volume = {52},
number = {1},
pages = {1-18},
keywords = {Additive models, Disease mapping, Geostatistics, Kriging, Mixed models, Nonparametric regression, Penalized splines, Restricted maximum likelihood},
doi = {https://doi.org/10.1111/1467-9876.00385},
url = {https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/1467-9876.00385},
eprint = {https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9876.00385},
abstract = {Summary. A study into geographical variability of reproductive health outcomes (e.g. birth weight) in Upper Cape Cod, Massachusetts, USA, benefits from geostatistical mapping or kriging. However, also observed are some continuous covariates (e.g. maternal age) that exhibit pronounced non-linear relationships with the response variable. To account for such effects properly we merge kriging with additive models to obtain what we call geoadditive models. The merging becomes effortless by expressing both as linear mixed models. The resulting mixed model representation for the geoadditive model allows for fitting and diagnosis using standard methodology and software.},
year = {2003}
}
@article{dey2017metamodel,
title={Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment},
author={Dey, S and Mukhopadhyay, T and Adhikari, S},
journal={Composite Structures},
volume={171},
pages={227--250},