Principal results of studies on geomarketing and GIS
| Research objective | Methodology | Conclusions | Source |
|---|---|---|---|
| Geomarketing | |||
| To analyse the utility of geomarketing techniques | Theoretical review | Geomarketing aids rational decision making in developing countries | Allo (2014) |
| To demonstrate the importance of geomarketing in commercial distribution | Gravity model and Multinomial Logit | The location of “shadow zones” in commercial networks can be solved by GIS | Calero (2004) |
| To analyse the utility of the variogram function | Variogram function | Development of a spatial instrument combining analytical and graphical analysis | Chica Olmo and Luque Martínez (1992) |
| To analyse the cost of land in the City of Granada | Residual Iterative Kriging Method | Development of a methodology for estimating the price and value of houses | Chica Olmo (1995) |
| Eliminate the uncertainty in spatial analysis | GIS | GIS are geographical decision-making tools in environments with a degree of uncertainty | Goodchild (2008) |
| Analyse the utility of GIS in Geo-design. | GISs are valid tools for geo-design of commercial networks | Goodchild (2010) | |
| Spatial problems | |||
| Allocation of individuals to different geographical centres | Inner group of centrality | The allocation of clients and costs to each regional unit provides improvements in marketing management and returns | Altshuler et al. (2015) |
| Location-allocation model | Optimization of the allocation of individuals to primary health care centres in Lujan (Argentina) | Buzai (2011) | |
| GISs reduce the journey length for citizens to electoral modules in Chihuahua (México) | Casado and Palacios (2012) | ||
| GISs allow the analysis of access to social services by the different social strata in the Republic of Philippines | Delgado and Canters (2011) | ||
| GISs allow analysis of the differences in land use by the different social strata in Montevideo (Uruguay) | Fonseca et al. (2016) | ||
| GISs allow the analysis of land use planning and the spread of land prices in Montevideo | Lozano-Botache (2016) | ||
| Design of a location-price model of a network of petrol stations in Singapore | Chan et al. (2007) | ||
| Maximization of the coverage of a network of acoustic warning stations in Dublin (Ohio) | Tong (2012) | ||
| Huff Model | Utility of the Huff Model in the analysis of the attraction capacity of shopping centres | Díez and Escalona (2001) | |
| Undesirable installations | Location-allocation models | Models for the identification of undesirable installations | Bosque and Franco (1995) |
| Distribution intensity and its effect on purchasing | Gini coefficient | Importance of spatial proximity of clients in the automotive sector | Bucklin et al. (2008) |
| Nakanishi and Cooper model | Shows the utility of these models in the installation of a new point of sale in an already existing network | Drezner (1994) | |
| Variance analysis | Relationship between long journeys and purchase of durable goods | Hyman (1987) | |
| Regression model | Demonstrates the importance of geographical distance in commercial relations | Ganesan et al. (2005) | |
| Weighted geographic regression models | Displays different patterns of satisfaction with a network of points of sale depending on the physical and psychological factors of their clients by virtue of their geographic location | Mittal et al. (2004) | |
| Location-allocation model. GIS | Models and maps spatial competition and its impact on trade | Moreno (2003) | |
| Reduction of urban and rural journeys for the purchase of durable goods | Rodríguez et al. (2015) | ||
| Territorial analysis | Kernel Estimator and weighted geographic regression models | Analysis of the land cover generated by Geo-Wiki project on a 50 kilometres grid | Comber et al. (2016) |
| Kernel Estimator | Optimization of location of hospitals | Donthu and Rust (1989) | |
| P-Median hierarchical models and SILA | Demonstrates unequal access to health services in Ghana | Yasenovskiy and Hodgson (2007) | |
| Design of journey flows and transport | GIS | Demonstrates the validity of GIS for the design of transport flows | Loidl et al. (2016) |
| Pickup and intercept flow models | The application of these models in the analysis of buyer journeys | Zeng et al. (2009) | |
| Theoretical problems | |||
| Model design | Minsum and Minmax | Demonstrates when to apply each developed model | Carrizosa and Romero (2001) |
| Utility of geographic analysis | Exploratory analysis of spatial data | Applications of geomarketing in the distribution sector | Chasco (2003) |
| GIS, Huff Model and LISA | Demonstrates the usefulness of the application of geomarketing in marketing departments | Chasco (2012) | |
| Location-allocation model. GIS | Pioneering work demonstrating the progress in marketing decisions due to GIS | García-Palomo (1997) | |
| GIS | Shows the business benefits of geographic analysis | Goodchild (1991) | |
| Analyses the importance of symbolization for geographic information users | Ozimec et al. (2010) | ||
| Extends the validity of GIS for temporal and geographical analysis | Goodchild (2013) | ||
| Theoretical review | Retrospective analysis of the creation and evolution of GIS. | Goodchild (2000) | |
| Demonstrates opportunities offered by geographical research techniques (GRT) | Moreno (2004) | ||
| First order spatial autoregressive model | Demonstrates existence of a delay between the variation of macroeconomic variables and its geographic implications | López and Chasco (2007) | |
| Research objective | Methodology | Conclusions | Source |
|---|---|---|---|
| To analyse the utility of geomarketing techniques | Theoretical review | Geomarketing aids rational decision making in developing countries | |
| To demonstrate the importance of geomarketing in commercial distribution | Gravity model and Multinomial Logit | The location of “shadow zones” in commercial networks can be solved by GIS | |
| To analyse the utility of the variogram function | Variogram function | Development of a spatial instrument combining analytical and graphical analysis | |
| To analyse the cost of land in the City of Granada | Residual Iterative Kriging Method | Development of a methodology for estimating the price and value of houses | |
| Eliminate the uncertainty in spatial analysis | GIS | GIS are geographical decision-making tools in environments with a degree of uncertainty | |
| Analyse the utility of GIS in Geo-design. | GISs are valid tools for geo-design of commercial networks | ||
| Allocation of individuals to different geographical centres | Inner group of centrality | The allocation of clients and costs to each regional unit provides improvements in marketing management and returns | Altshuler |
| Location-allocation model | Optimization of the allocation of individuals to primary health care centres in Lujan (Argentina) | ||
| GISs reduce the journey length for citizens to electoral modules in Chihuahua (México) | |||
| GISs allow the analysis of access to social services by the different social strata in the Republic of Philippines | |||
| GISs allow analysis of the differences in land use by the different social strata in Montevideo (Uruguay) | |||
| GISs allow the analysis of land use planning and the spread of land prices in Montevideo | |||
| Design of a location-price model of a network of petrol stations in Singapore | |||
| Maximization of the coverage of a network of acoustic warning stations in Dublin (Ohio) | |||
| Huff Model | Utility of the Huff Model in the analysis of the attraction capacity of shopping centres | Díez and Escalona (2001) | |
| Undesirable installations | Location-allocation models | Models for the identification of undesirable installations | |
| Distribution intensity and its effect on purchasing | Gini coefficient | Importance of spatial proximity of clients in the automotive sector | |
| Nakanishi and Cooper model | Shows the utility of these models in the installation of a new point of sale in an already existing network | ||
| Variance analysis | Relationship between long journeys and purchase of durable goods | ||
| Regression model | Demonstrates the importance of geographical distance in commercial relations | ||
| Weighted geographic regression models | Displays different patterns of satisfaction with a network of points of sale depending on the physical and psychological factors of their clients by virtue of their geographic location | ||
| Location-allocation model. GIS | Models and maps spatial competition and its impact on trade | ||
| Reduction of urban and rural journeys for the purchase of durable goods | |||
| Territorial analysis | Kernel Estimator and weighted geographic regression models | Analysis of the land cover generated by Geo-Wiki project on a 50 kilometres grid | |
| Kernel Estimator | Optimization of location of hospitals | ||
| P-Median hierarchical models and SILA | Demonstrates unequal access to health services in Ghana | ||
| Design of journey flows and transport | GIS | Demonstrates the validity of GIS for the design of transport flows | |
| Pickup and intercept flow models | The application of these models in the analysis of buyer journeys | ||
| Model design | Minsum and Minmax | Demonstrates when to apply each developed model | |
| Utility of geographic analysis | Exploratory analysis of spatial data | Applications of geomarketing in the distribution sector | |
| GIS, Huff Model and LISA | Demonstrates the usefulness of the application of geomarketing in marketing departments | ||
| Location-allocation model. GIS | Pioneering work demonstrating the progress in marketing decisions due to GIS | García-Palomo (1997) | |
| GIS | Shows the business benefits of geographic analysis | ||
| Analyses the importance of symbolization for geographic information users | |||
| Extends the validity of GIS for temporal and geographical analysis | |||
| Theoretical review | Retrospective analysis of the creation and evolution of GIS. | ||
| Demonstrates opportunities offered by geographical research techniques (GRT) | |||
| First order spatial autoregressive model | Demonstrates existence of a delay between the variation of macroeconomic variables and its geographic implications | ||
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