{"doi":"10.1016/j.sste.2022.100506","title":"Validating a spatio-temporal model of observed neighborhood physical disorder","abstract":"This study tested spatio-temporal model prediction accuracy and concurrent validity of observed neighborhood physical disorder collected from virtual audits of Google Street View streetscapes. We predicted physical disorder from spatio-temporal regression Kriging models based on measures at three dates per each of 256 streestscapes (n = 768 data points) across an urban area. We assessed model internal validity through cross validation and external validity through Pearson correlations with respondent-reported perceptions of physical disorder from a breast cancer survivor cohort. We compared validity among full models (both large- and small-scale spatio-temporal trends) versus large-scale only. Full models yielded lower prediction error compared to large-scale only models. Physical disorder predictions were lagged at uniform distances and dates away from the respondent-reported perceptions of physical disorder. Correlations between perceived and observed physical disorder predicted from the full model were higher compared to that of the large-scale only model, but only at locations and times closest to the respondent's exact residential address and questionnaire date. A spatio-temporal Kriging model of observed physical disorder is valid.","journal":"Spatial and Spatio-temporal Epidemiology","year":2022,"id":286105,"datarank":0.24141568686511508,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.0,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9422,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":437489,"name":"Stephen J. Mooney","orcid":"0000-0001-9092-938X","position":1,"is_corresponding":false},{"id":381817,"name":"Mario Schootman","orcid":"0000-0003-1162-8824","position":2,"is_corresponding":false},{"id":107946,"name":"Andrew Rundle","orcid":"0000-0003-0211-7707","position":3,"is_corresponding":false},{"id":298445,"name":"Adana A. M. Llanos","orcid":"0000-0001-9954-9121","position":4,"is_corresponding":false},{"id":298438,"name":"Bo Qin","orcid":"0000-0003-2110-6050","position":5,"is_corresponding":false},{"id":504384,"name":"Chi‐Chen Hong","orcid":"0000-0001-9212-2264","position":6,"is_corresponding":false},{"id":298444,"name":"Kitaw Demissie","orcid":"0000-0002-0554-714X","position":7,"is_corresponding":false},{"id":71791,"name":"Elisa V. Bandera","orcid":"0000-0002-8789-2755","position":8,"is_corresponding":false},{"id":965034,"name":"Xinyi Xu","orcid":"0000-0002-4994-0357","position":9,"is_corresponding":false},{"id":298440,"name":"Jesse J. Plascak","orcid":"0000-0002-4277-2987","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:29:48.841035Z","pmid":"35691640","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}