-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathresources.qmd
More file actions
81 lines (52 loc) · 7.16 KB
/
Copy pathresources.qmd
File metadata and controls
81 lines (52 loc) · 7.16 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
---
title: "People and Resources Links"
sidebar: false
---
This is my general repository of resources and people I find myself using or repeatedly pointing people towards.
# Open Research, AI and Data Ethics
- [Turing Commons](https://alan-turing-institute.github.io/turing-commons/), an online platform to support open dialogue and reflection about the responsible design, development, and deployment of data-driven technologies.
- [rOpenSci](https://ropensci.org)
## Research Software Engineering
- [Happy Git and GitHub for the useR](https://happygitwithr.com)
# Statistics & Data Analytics
- [Tidy Tuesday](https://github.com/rfordatascience/tidytuesday)
- [Statistical Modeling, Causal Inference, and Social Science](https://statmodeling.stat.columbia.edu/), blog from Andrew Gelman, mostly focussed on Bayesian and MLM methods.
- [Michael Clark's blog](https://m-clark.github.io) has some fantastic resources, including in-depth tutorials on [Mixed Models in R](https://m-clark.github.io/mixed-models-with-R/), [Generative Additive Models](https://m-clark.github.io/generalized-additive-models/), [Practical Data Science](https://m-clark.github.io/data-processing-and-visualization/) and [more](https://m-clark.github.io/resources.html)!
- [Significant Statisics](https://pressbooks.lib.vt.edu/introstatistics/front-matter/preface/), intro textbook from Virginia Tech.
## Datasets
- [Datahub](https://datahub.io)
- [Open Data - Github](https://github.com/datasets)
### Business & Construction Data
- [UK Construction Statistics Annual Tables](https://www.ons.gov.uk/businessindustryandtrade/constructionindustry/datasets/constructionstatisticsannualtables)
- [Business datasets for analytics projects](https://www.reddit.com/r/analytics/comments/znd9o2/business_datasets_for_analytics_projects/)
### Environmental & Energy Data
- [HS2 Air Quality and Environmental Monitoring Data](https://www.data.gov.uk/dataset/24542ae7-dd44-444f-b259-871c4cc43b5e/environmental-impact-data)
- [Energy Performance of Buildings Data: England and Wales](https://epc.opendatacommunities.org)
- [UC Irvine Energy Efficiency Data](https://archive.ics.uci.edu/dataset/242/energy+efficiency)
## Multilevel Modelling
- *Multilevel (Hierarchical) Modeling: What it can and cannot do*. Gelman (2006). DOI: [10.1198/004017005000000661](http://www.stat.columbia.edu/~gelman/research/published/multi2.pdf)
## Generative Additive Models
- [*GAMs in R: A Free, Interactive Course using `mgcv`* by Noam Ross](https://noamross.github.io/gams-in-r-course/)
## Teaching Statistics
- [Data Viz resource list from Sam Csik](https://eds-240-data-viz.github.io/resources.html)
- [Common statistical tests are linear models (or: how to teach stats)](https://lindeloev.github.io/tests-as-linear/#9_teaching_materials_and_a_course_outline), blog post by Jonas Kristoffer Lindeløv
- [Statistical Thinking for the 21st Century](https://statsthinking21.github.io/statsthinking21-core-site/index.html), a great new textbook by Russel A. Poldrack which I have used as the primary resource for my new undergrad statistics course.
- [Statistical analysis: (1) Plotting the data, (2) Constructing and fitting models, (3) Plotting data along with fitted models, (4) Further modeling and data collection](https://statmodeling.stat.columbia.edu/2023/02/11/statistical-analysis-1-plotting-the-data-2-constructing-and-fitting-models-3-plotting-data-along-with-fitted-models-4-further-modeling-and-data-collection/) and [Any graph should contain the seeds of its own destruction](https://statmodeling.stat.columbia.edu/2021/05/06/any-graph-should-contain-the-seeds-of-its-own-destruction/), blog posts from Andrew Gelman on the statistical modeling workflow
# Urban Soundscapes
Urban Soundscape Studies pull from a wide range of disciplines, some less known than others. When trying to describe these influences to people, I find myself consistently referring to the same people and references as *examplars*^[Note: These really are just examples I tend to go to. I certainly don't pretend this is every influential reference in the field or even necessarily who I consider better than any other researchers. In fact I will mostly highlight lesser known people that don't tend to be the first points of entry for the field (i.e. I probably won't include Schafer, Jian Kang, or Schult-Fortkamp since there's just too much from them to include). I also apologise to any scholar who feels their work has been miscategorised.] for these various approaches. Mostly these are the sort of references I give people who ask me for an introduction to the different branches of urban soundscape research. Many of these researchers have also appeared on my podcast, [*The Rest Is Just Noise*](https://www.justnoisepod.com/) so check out their interviews there as well!
## General Resources
- [*Soundscapes: Humans and Their Acoustic Environment*](https://link.springer.com/book/10.1007/978-3-031-22779-0), eds. Schulte-Fortkamp, Fiebig, Sisneros, Popper, & Fay (2023).
## Soundscape Engineering
- **ME!** Of course, all of my works and publications can be found here. For my broader concepts, recommendations, and tools for soundscape engineering I would point people to the following specifically:
- [*A conceptual framework for the practical use of predictive models and Soundscape Indices: Goals, constraints, and applications*](https://www.researchgate.net/profile/Andrew-Mitchell-18/publication/375516282_A_conceptual_framework_for_the_practical_use_of_predictive_models_and_Soundscape_Indices_Goals_constraints_and_applications/links/654ceaface88b87031d8a7cb/A-conceptual-framework-for-the-practical-use-of-predictive-models-and-Soundscape-Indices-Goals-constraints-and-applications.pdf), Internoise 2023.
## Landscape Architecture
- [Dr Gunnar Cerwen](https://www.slu.se/cv/gunnar-cerwen/), Landscape Archictect at Swedish University of Agricultural Sciences.
- [Soundscape Design](https://soundscapedesign.info/about-us/)
- [Dr Usue Ruiz Arana](https://www.ncl.ac.uk/apl/people/profile/usueruiz-arana.html), Landscape Architect at Newcastle University
- [Urban Soundscapes: A Guide to Listening for Landscape Architecture and Urban Design](https://www.routledge.com/Urban-Soundscapes-A-Guide-to-Listening-for-Landscape-Architecture-and-Urban-Design/RuizArana/p/book/9781032065946)
## History and Sociology
- [Dr Edda Bild](https://iwh.on.ca/people/edda-bild)
- *Considering Sound in Planning and Designing Public Spaces: A review of theory and applications and a proposed framework for integrating research and practice*, Journal of Planning Literature (2016). DOI: [10.1177/0885412216662001](https://doi.org/10.1177/0885412216662001).
- *Sound as City Maker: Developing participatory collaborative process to work with sound as an urban resource. The case of Mr Visserplein (Amsterdam, NL)*. The Bloomsbury Handbook of Sonic Methodologies (2020). ISBN: [9781501338779](https://www.bloomsbury.com/uk/bloomsbury-handbook-of-sonic-methodologies-9781501338779/)
- *The Rest Is Just Noise:* [Sonic Appropriation and the UK Policing Bill](https://www.justnoisepod.com/1438372/8195656-sonic-appropriation-and-the-uk-policing-bill-with-edda-bild)
- [*The Soundscape of Modernity*](https://mitpress.mit.edu/9780262701068/), Emily Thompson (2004).