{"action":"created","issue":{"url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces/issues/2","repository_url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces","labels_url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces/issues/2/comments","events_url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces/issues/2/events","html_url":"https://github.com/coreytcallaghan/urban_greenspaces/issues/2","id":325083916,"node_id":"MDU6SXNzdWUzMjUwODM5MTY=","number":2,"title":"Step 2: Convert eBird to a format which can be easily spatially queried","user":{"login":"coreytcallaghan","id":28123686,"node_id":"MDQ6VXNlcjI4MTIzNjg2","avatar_url":"https://avatars2.githubusercontent.com/u/28123686?v=4","gravatar_id":"","url":"https://api.github.com/users/coreytcallaghan","html_url":"https://github.com/coreytcallaghan","followers_url":"https://api.github.com/users/coreytcallaghan/followers","following_url":"https://api.github.com/users/coreytcallaghan/following{/other_user}","gists_url":"https://api.github.com/users/coreytcallaghan/gists{/gist_id}","starred_url":"https://api.github.com/users/coreytcallaghan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/coreytcallaghan/subscriptions","organizations_url":"https://api.github.com/users/coreytcallaghan/orgs","repos_url":"https://api.github.com/users/coreytcallaghan/repos","events_url":"https://api.github.com/users/coreytcallaghan/events{/privacy}","received_events_url":"https://api.github.com/users/coreytcallaghan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-05-21T22:48:23Z","updated_at":"2018-06-01T01:21:51Z","closed_at":null,"author_association":"OWNER","body":"The object here is to be able to easily convert the eBird dataset for a format which can be easily spatially queried. In that, for a given delineated greenspace, we can easily extract all data for that greenspace.\r\n\r\nThe current working theory is that a sql database might be the best way to do this."},"comment":{"url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces/issues/comments/393730474","html_url":"https://github.com/coreytcallaghan/urban_greenspaces/issues/2#issuecomment-393730474","issue_url":"https://api.github.com/repos/coreytcallaghan/urban_greenspaces/issues/2","id":393730474,"node_id":"MDEyOklzc3VlQ29tbWVudDM5MzczMDQ3NA==","user":{"login":"johnWilshire","id":1732458,"node_id":"MDQ6VXNlcjE3MzI0NTg=","avatar_url":"https://avatars3.githubusercontent.com/u/1732458?v=4","gravatar_id":"","url":"https://api.github.com/users/johnWilshire","html_url":"https://github.com/johnWilshire","followers_url":"https://api.github.com/users/johnWilshire/followers","following_url":"https://api.github.com/users/johnWilshire/following{/other_user}","gists_url":"https://api.github.com/users/johnWilshire/gists{/gist_id}","starred_url":"https://api.github.com/users/johnWilshire/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/johnWilshire/subscriptions","organizations_url":"https://api.github.com/users/johnWilshire/orgs","repos_url":"https://api.github.com/users/johnWilshire/repos","events_url":"https://api.github.com/users/johnWilshire/events{/privacy}","received_events_url":"https://api.github.com/users/johnWilshire/received_events","type":"User","site_admin":false},"created_at":"2018-06-01T01:21:51Z","updated_at":"2018-06-01T01:21:51Z","author_association":"COLLABORATOR","body":"Or probably the easiest way would be via the [wellknown](https://cran.r-project.org/web/packages/wellknown/vignettes/wellknown_vignette.html) package in R"}}
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