SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Automated urban land-use classification with remote sensing
2 references·3 citing·20 second hop
Automated urban land-use classification with remote sensing (2012)Automated urban land-use classification w…Handbook of Texas Online (2018)Handbook of Texas OnlineThe Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method (2022)A framework for urban land us…Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities (2021)Mapping essential urban land …Functional urban land use recognition integrating multi-source geospatial data and cross-correlations (2019)Functional urban land use rec…A Coefficient of Agreement for Nominal Scales (1960)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. (1994)Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data (1997)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Discovering regions of different functions in a city using human mobility and POIs (2012)Data mining with big data (2013)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)How the built environment affects physical activity (2002)Citizens as sensors: the world of volunteered geography (2007)Users of the world, unite! The challenges and opportunities of Social Media (2009)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Identifying urban functional zones by capturing multi-spatial distribution patterns of points of interest (2022)Conflating point of interest (POI) data: A systematic review of matching methods (2023)The effects of urban land use on energy-related CO2 emissions in China (2023)Public Collaboration in Transportation (2009)Abandoned rail corridors in Texas : a policy and infrastructure evaluation. (2011)Categorizing Categorization Research: Review, Integration, and Future Directions (2013)
this work references cited by second hop

References

  • 1977The Measurement of Observer Agreement for Categorical Data81,603 cited
  • 2018Handbook of Texas Online54 cited

Cited by

  • 2019Functional urban land use recognition integrating multi-source geospatial data and cross-correlations119 cited
  • 2021Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities105 cited
  • 2022A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method104 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work