{"id":28393759,"url":"https://github.com/mazamascience/asic-2024","last_synced_at":"2026-01-27T12:37:08.854Z","repository":{"id":217376718,"uuid":"743700472","full_name":"MazamaScience/ASIC-2024","owner":"MazamaScience","description":"Slides and workshop materials for the 2024 Air Sensors International Conference","archived":false,"fork":false,"pushed_at":"2024-04-30T17:09:30.000Z","size":4320,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-06-26T11:43:49.333Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MazamaScience.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-01-15T19:50:52.000Z","updated_at":"2024-04-30T20:36:21.000Z","dependencies_parsed_at":null,"dependency_job_id":"99cd9d9b-9493-4e7f-9d0e-c3b19de7c435","html_url":"https://github.com/MazamaScience/ASIC-2024","commit_stats":null,"previous_names":["mazamascience/asic-2024"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MazamaScience/ASIC-2024","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MazamaScience%2FASIC-2024","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MazamaScience%2FASIC-2024/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MazamaScience%2FASIC-2024/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MazamaScience%2FASIC-2024/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MazamaScience","download_url":"https://codeload.github.com/MazamaScience/ASIC-2024/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MazamaScience%2FASIC-2024/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28813215,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-27T12:25:15.069Z","status":"ssl_error","status_checked_at":"2026-01-27T12:25:05.297Z","response_time":168,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-05-31T17:08:05.445Z","updated_at":"2026-01-27T12:37:08.849Z","avatar_url":"https://github.com/MazamaScience.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# [ASIC 2024](https://asic.aqrc.ucdavis.edu/events/asic-2024-california-conference)\n\nSlides and workshop materials for the 2024 Air Sensors International Conference.\n\n_Last updated April 09, 2024_\n\n----\n\n## R Packages for Air Quality Data _(workshop)_\n\nComplete \n[materials and setup instructions](https://github.com/MazamaScience/ASIC-2024/tree/main/R_workshop) \nfor the pre-conference training.\n\nAttendees will become familiar with the **AirMonitor** and **AirSensor2** R\npackages and will be able to quickly download, process and visualize large\namounts of monitor and sensor data. Various analysis functions will be\nintroduced and users will be able to choose their own sensors and monitors to\ncreate QC reports and end-user graphics.\n\n## Targeted Data Visualization _(presentation)_\n\nThere is no one-size-fits all for data visualization of air quality data. Yes, maps and time series \nare important. But every community will need to accommodate members who are color vision impaired \nor who are non-English speakers. Every community will have members who are interested in the details \nand others who just want a summary assessment. Every community will have a range of decision making \nneeds: When should I walk the dog? Should we cancel school sports? Is this sensor functioning well \nenough to believe its data? Those communicating air quality data with local communities need to \nhave a range of options when processing and displaying that data. This talk will present a suite \nof data visualization options that have been used in real-world community outreach projects.\n\n[Slides](http://mazamascience.com/presentations/2024/Targeted_Data_Visualization.pdf)\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmazamascience%2Fasic-2024","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmazamascience%2Fasic-2024","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmazamascience%2Fasic-2024/lists"}