{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":637342975,"defaultBranch":"main","name":"StreetView-NatureVisibility","ownerLogin":"Spatial-Data-Science-and-GEO-AI-Lab","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2023-05-07T09:04:29.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/131204035?v=4","public":true,"private":false,"isOrgOwned":true},"refInfo":{"name":"","listCacheKey":"v0:1694512782.0","currentOid":""},"activityList":{"items":[{"before":null,"after":"6fb90103ce51b08335be26ede0b457826505b901","ref":"refs/heads/analysis-with-bbox","pushedAt":"2023-09-12T09:59:42.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"It is possible to select the area to be analysed using a boundary box. The boundary box can be defined using a map in the jupyter notebook.","shortMessageHtmlLink":"It is possible to select the area to be analysed using a boundary box…"}},{"before":"2099dec845d7bf449994f80d2697f5636184034c","after":"f4e6b5f53890db13bc32154682591937ba2271d0","ref":"refs/heads/main","pushedAt":"2023-09-01T23:06:41.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"984c4776beb0f6068bac53807932bb7b16111615","after":"2099dec845d7bf449994f80d2697f5636184034c","ref":"refs/heads/main","pushedAt":"2023-09-01T23:05:02.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"bb6535334ee922fec43e85f0c13492ed7a165676","after":"984c4776beb0f6068bac53807932bb7b16111615","ref":"refs/heads/main","pushedAt":"2023-09-01T12:25:44.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Functionality to save some images and their segmentations","shortMessageHtmlLink":"Functionality to save some images and their segmentations"}},{"before":"46e4d22dde2c3288afd8f37f2519abab8261a942","after":"bb6535334ee922fec43e85f0c13492ed7a165676","ref":"refs/heads/main","pushedAt":"2023-09-01T09:53:36.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Display map with points after calculating GVI from street view images in jupyter notebook and after calculating missing points with linear regression and gam","shortMessageHtmlLink":"Display map with points after calculating GVI from street view images…"}},{"before":"d93959e3f3ccfb158b379a83038f16c65cb1e444","after":"46e4d22dde2c3288afd8f37f2519abab8261a942","ref":"refs/heads/main","pushedAt":"2023-09-01T08:41:43.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"\"Open in Colab\" button in README file","shortMessageHtmlLink":"\"Open in Colab\" button in README file"}},{"before":"df8219e8cda9375ffe21dae2ae53870b0cb8a12e","after":"d93959e3f3ccfb158b379a83038f16c65cb1e444","ref":"refs/heads/main","pushedAt":"2023-08-09T09:27:58.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Add images with examples of how a panoramic image is cropped when using road centers and when using the complete panorama","shortMessageHtmlLink":"Add images with examples of how a panoramic image is cropped when usi…"}},{"before":"3e18ac654ac8846c62eb4c2e79ccc65c5b960877","after":"df8219e8cda9375ffe21dae2ae53870b0cb8a12e","ref":"refs/heads/main","pushedAt":"2023-08-08T22:06:05.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"* Install libraries to perform the ndvi analysis in Google Colab\n* Change a line of code in pygam.py to solve a bug that the library hasn't resolve yet","shortMessageHtmlLink":"* Install libraries to perform the ndvi analysis in Google Colab"}},{"before":"b0b2bac2f7530d5d43eb8773382483f45f69ca14","after":"3e18ac654ac8846c62eb4c2e79ccc65c5b960877","ref":"refs/heads/main","pushedAt":"2023-08-08T20:15:25.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/Spatial-Data-Science-and-GEO-AI-Lab/StreetView-NatureVisibility","shortMessageHtmlLink":"Merge branch 'main' of <a href=\"https://github.com/Spatial-Data-Science-and-GEO-AI-Lab/StreetView-NatureVisibility\">https://github.com/Spatial-Data-Science-and-GE…</a>"}},{"before":"de2066d1603b1d85c4f61dbe4d8494fd70cf93d9","after":"b0b2bac2f7530d5d43eb8773382483f45f69ca14","ref":"refs/heads/main","pushedAt":"2023-08-08T11:56:42.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":null,"after":"3a3fea09728c2215fac16810a94213e69fd5f8cb","ref":"refs/heads/main-backup","pushedAt":"2023-08-04T12:56:28.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"3a3fea09728c2215fac16810a94213e69fd5f8cb","after":"de2066d1603b1d85c4f61dbe4d8494fd70cf93d9","ref":"refs/heads/main","pushedAt":"2023-08-04T12:55:48.000Z","pushType":"push","commitsCount":4,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Make changes to crop images by road centers or into 4 parts","shortMessageHtmlLink":"Make changes to crop images by road centers or into 4 parts"}},{"before":"021dae5067aa58e4728d43aa2f7b6ac67e05a182","after":"3a3fea09728c2215fac16810a94213e69fd5f8cb","ref":"refs/heads/main","pushedAt":"2023-07-02T22:39:07.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"7e05f3d1da9b9496d2052b5c07ac83370afcb09a","after":"021dae5067aa58e4728d43aa2f7b6ac67e05a182","ref":"refs/heads/main","pushedAt":"2023-07-02T22:36:52.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"6e72fcccaf1b4e572007dbb1397bb3526eb0c90a","after":"7e05f3d1da9b9496d2052b5c07ac83370afcb09a","ref":"refs/heads/main","pushedAt":"2023-07-02T22:29:47.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update CITATION.cff","shortMessageHtmlLink":"Update CITATION.cff"}},{"before":"ad6380f93b7db94a8e47bd1f6e7b6a9576775c4e","after":"6e72fcccaf1b4e572007dbb1397bb3526eb0c90a","ref":"refs/heads/main","pushedAt":"2023-07-02T22:22:52.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Create CITATION.cff","shortMessageHtmlLink":"Create CITATION.cff"}},{"before":"bc15db9741fae5c6d07207fc647139c61872c5a1","after":"ad6380f93b7db94a8e47bd1f6e7b6a9576775c4e","ref":"refs/heads/main","pushedAt":"2023-07-02T22:16:47.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"labiblm","name":"Labibsm","path":"/labiblm","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/31006280?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"bc925f54272374126b7494234fa24eff2bac8d13","after":"bc15db9741fae5c6d07207fc647139c61872c5a1","ref":"refs/heads/main","pushedAt":"2023-06-27T14:10:41.030Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Update acknowledgements section in README file and update title","shortMessageHtmlLink":"Update acknowledgements section in README file and update title"}},{"before":"3e5e46109ae74884d9f61551f3bb256915e1f21b","after":"bc925f54272374126b7494234fa24eff2bac8d13","ref":"refs/heads/main","pushedAt":"2023-06-27T10:38:13.791Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Add Aims and objectives, Acknowledgements and Contact Information in README file.\n\nChange path to save file in mean_gvi_street script\n\nSet pandas max_columns to print all the columns of the results tables in Google Colab","shortMessageHtmlLink":"Add Aims and objectives, Acknowledgements and Contact Information in …"}},{"before":"33ac126af2d1f908d6d91d32c495df90e6927b65","after":"3e5e46109ae74884d9f61551f3bb256915e1f21b","ref":"refs/heads/main","pushedAt":"2023-06-26T23:42:03.845Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Small UPDATE on README file and clear outputs in jupyter notebook for google colab","shortMessageHtmlLink":"Small UPDATE on README file and clear outputs in jupyter notebook for…"}},{"before":"a914cf8b4c272937cc9dccfa6c2ffe4fe4b8b120","after":"33ac126af2d1f908d6d91d32c495df90e6927b65","ref":"refs/heads/main","pushedAt":"2023-06-26T23:37:44.066Z","pushType":"push","commitsCount":4,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Updates on README file to explain step 6, which already shows how to used the script to get the availability and usability scores","shortMessageHtmlLink":"Updates on README file to explain step 6, which already shows how to …"}},{"before":"6fd705513a33e2dc01ab5d2985b7f53925cff6ac","after":"a914cf8b4c272937cc9dccfa6c2ffe4fe4b8b120","ref":"refs/heads/main","pushedAt":"2023-06-20T08:26:15.553Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Add seaborn to yaml file and update metrics","shortMessageHtmlLink":"Add seaborn to yaml file and update metrics"}},{"before":"2bef2d26cc1d0b37716b9cbbef8e66d8b399d9c2","after":"6fd705513a33e2dc01ab5d2985b7f53925cff6ac","ref":"refs/heads/main","pushedAt":"2023-06-15T17:12:42.022Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Small update to README file and jupyter notebook","shortMessageHtmlLink":"Small update to README file and jupyter notebook"}},{"before":"de6700b4a7f57aa54b0dabe277b0bb52ea7e71ff","after":"2bef2d26cc1d0b37716b9cbbef8e66d8b399d9c2","ref":"refs/heads/main","pushedAt":"2023-06-15T16:53:48.571Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Update link to jupyter notebook in Google Colab","shortMessageHtmlLink":"Update link to jupyter notebook in Google Colab"}},{"before":"5f8b622c6af8672bb721a1d00be2341c5c1de587","after":"de6700b4a7f57aa54b0dabe277b0bb52ea7e71ff","ref":"refs/heads/main","pushedAt":"2023-06-15T16:48:11.525Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Update instructions for choosing the CRS in the jupyter notebook\n\nThis commit message reflects modifications made to the instructions in the code regarding the selection of the Coordinate Reference System (CRS). The changes emphasize the need for users to update the CRS value based on the specific area they are analyzing.","shortMessageHtmlLink":"Update instructions for choosing the CRS in the jupyter notebook"}},{"before":"5a0a181261c9f29494c4bd9e5ff2084b9c14e3cf","after":"5f8b622c6af8672bb721a1d00be2341c5c1de587","ref":"refs/heads/main","pushedAt":"2023-06-14T10:43:52.316Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Add calculation of AIC to the prediction of the missing gvi values using linear regression and linear GAM and small update to README file","shortMessageHtmlLink":"Add calculation of AIC to the prediction of the missing gvi values us…"}},{"before":"7eeac3e01424455266e6073c3e262aa2ea124de1","after":"5a0a181261c9f29494c4bd9e5ff2084b9c14e3cf","ref":"refs/heads/main","pushedAt":"2023-06-13T23:17:38.839Z","pushType":"push","commitsCount":2,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Uploaded notebook for Google Colab execution, updated Google Colab link, and added script for estimating missing GVI points using NDVI values\n\nThis commit includes the following updates:\n* Uploaded the Jupyter notebook that allows running the code directly from Google Colab, eliminating the need to download files manually. The notebook contains step-by-step instructions for execution.\n* Updated the Google Colab link in the README file to point to the notebook in the SpatialData account.\n* Added a script for estimating missing GVI points using NDVI values. This script, which uses the availability module developed by Yúri, improves the analysis by using linear regression to estimate the missing GVI values due to unavailable or unsuitable images. Instructions for using the script are included in both the README file and the Google Colab notebook.","shortMessageHtmlLink":"Uploaded notebook for Google Colab execution, updated Google Colab li…"}},{"before":"5dd5da60e8447f1480d6958f5a2ca45aba0bee5f","after":"7eeac3e01424455266e6073c3e262aa2ea124de1","ref":"refs/heads/main","pushedAt":"2023-06-13T18:52:47.218Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Update maps for README file","shortMessageHtmlLink":"Update maps for README file"}},{"before":"e3e7d4eaaa0ff66e3188286ee766d8eef3a26d1c","after":"5dd5da60e8447f1480d6958f5a2ca45aba0bee5f","ref":"refs/heads/main","pushedAt":"2023-06-13T17:25:23.358Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Small correction to README file","shortMessageHtmlLink":"Small correction to README file"}},{"before":"2ba74ceb8efde53c576c1a8cde3ff652028da414","after":"e3e7d4eaaa0ff66e3188286ee766d8eef3a26d1c","ref":"refs/heads/main","pushedAt":"2023-06-13T17:24:36.164Z","pushType":"push","commitsCount":1,"pusher":{"login":"iabrilvzqz","name":null,"path":"/iabrilvzqz","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/22685486?s=80&v=4"},"commit":{"message":"Update project progress table for week 8 and create Jupyter Notebook for comprehensive visualization of results across all cities. The notebook includes visualizations for various metrics, such as availability score, number of panoramic images, number of missing images, and identification of road networks with the highest count of missing images.","shortMessageHtmlLink":"Update project progress table for week 8 and create Jupyter Notebook …"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAADfqKsNQA","startCursor":null,"endCursor":null}},"title":"Activity · Spatial-Data-Science-and-GEO-AI-Lab/StreetView-NatureVisibility"}