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Exploring, modelling and predicting spatiotemporal variations in house prices
16 references·3 citing·29 second hop
Exploring, modelling and predicting spatiotemporal variations in house prices (2015)Exploring, modelling and predicting spati…Geographical and Temporal Weighted Regression (GTWR) (2015)Geographical and Temporal Wei…Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)Geographically and temporally…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Exponential smoothing: The state of the art—Part II (2006)Exponential smoothing: The st…Geographically weighted Poisson regression for disease association mapping (2005)Geographically weighted Poiss…Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Geographically Weighted Regre…Housing Market Segmentation (1998)Housing Market SegmentationGeographically Weighted Regression (1998)Geographically Weighted Regre…Analysis of Spatial Autocorrelation in House Prices (1998)Analysis of Spatial Autocorre…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…Specification and estimation of hedonic housing price models (1992)Specification and estimation …Spatial data analysis in the social and environmental sciences (1991)Spatial data analysis in the …Spatial Data Analysis in the Social and Environmental Sciences (1990)Spatial Data Analysis in the …Spatial Econometrics: Methods and Models (1988)Spatial Econometrics: Methods…Spatial Processes, Models and Applications (1983)Spatial Processes, Models and…Spatial Processes: Models and Applications (1982)Spatial Processes: Models and…Capturing the Value of Walkability (2024)Capturing the Value of Walkab…Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland (2019)Valuing Environmental Ameniti…Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model (2018)Impact of Accessibility on Ho…Forecasting Sales by Exponentially Weighted Moving Averages (1960)The M3-Competition: results, conclusions and implications (2000)Forecasting seasonals and trends by exponentially weighted moving averages (2004)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)Artificial intelligence applications in supply chain management (2021)Forecasting: theory and practice (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)A measure of spatial stratified heterogeneity (2016)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Annals of the American association of geographers (2016)The effect of urbanization on environmental pollution in rapidly developing urban agglomerations (2019)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)Spatial pattern and ecological analysis (1989)Testing Weak Cross-Sectional Dependence in Large Panels (2014)The Analysis of Spatial Association by Use of Distance Statistics (1992)Local Indicators of Spatial Association—LISA (1995)General Diagnostic Tests for Cross Section Dependence in Panels (2004)Spatial Panel Econometrics (2008)SPATIAL AUTOCORRELATION AND AUTOREGRESSIVE MODELS IN ECOLOGY (2002)Multicollinearity and correlation among local regression coefficients in geographically weighted regression (2005)Properties of Tests for Spatial Dependence in Linear Regression Models (1991)Under the hood Issues in the specification and interpretation of spatial regression models (2002)Panel data models with spatially correlated error components (2006)
this work references cited by second hop

References

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  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
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  • 2015Geographical and Temporal Weighted Regression (GTWR)621 cited
  • 1992Specification and estimation of hedonic housing price models582 cited
  • 2005Geographically weighted Poisson regression for disease association mapping565 cited
  • 1998Analysis of Spatial Autocorrelation in House Prices555 cited

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  • 1998Housing Market Segmentation466 cited
  • Cited by

    • 2019Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland66 cited
    • 2018Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model65 cited
    • 2024Capturing the Value of Walkability3 cited