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Format: 1 online resource (259 pages)

Edition: 1st ed.

ISBN: 3-031-61440-2

Series Statement: Lecture Notes in Geoinformation and Cartography Series

Note: Intro -- Organization -- Preface -- Acknowledgements -- Contents -- Analysis of Geospatial Data -- The Relationship of Spatio-temporal Patterns of Mortality of Diseases Associated with Malnutrition and Food Establishments in Mexico -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Standardization -- 2.2 Statistical Analyses -- 3 Results and Discussion -- 4 Conclusions -- References -- Spatio-temporal Analysis of the Main Types of Road Incidents in Mexico City 2018-2022 -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- A Louvain-Based Approach to Discover Communities and Spatial Relations in a Homicide Knowledge Graph -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area and Data -- 2.2 Louvain Algorithm -- 3 Results and Discussion -- 4 Conclusions and Future Work -- References -- Construction of a Prospective Scenario of Land Use and Cover Change for the Usumacinta River Basin, Indispensable Element for Regional Planning -- 1 Introduction -- 2 Description of the Study Area and Data -- 3 Methods -- 4 Results and Discussion -- 5 Conclusions -- References -- Characteristics of Clandestine Burial Sites in Mexico: A Regional Overview with Multivariate Analysis -- 1 Introduction -- 2 Background -- 3 Data -- 3.1 Clandestine Graves -- 3.2 Homicidal Violence and Disappearances -- 3.3 Variables About the Built Environment -- 4 Methodology -- 4.1 K-means Cluster Analysis -- 4.2 Clustering and Regionalization with Spatial Constraints -- 4.3 Statistically Significant Variables -- 5 Results and Discussion -- 6 Conclusions -- References -- Estimation of Land Surface Temperature Using Satellite Remote Sensing, a Case Study in the Cities from El Salvador: Berlin, Alegría, and Santiago de María -- 1 Introduction -- 2 Related Work -- 3 Measurement and Methods. , 3.1 Surface Temperature Measurement Using Remote Sensing -- 3.2 LST Using Landsat8 OLI-TIRS and QGIS -- 4 Case Study from El Salvador in the Cities: Berlin, Alegría, and Santiago de María -- 4.1 Procedure -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- Assessing Maize (Zea Mays) Biomass at Different Growth Stages: A UAV-Based Multispectral Study on Nitrogen Effects -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Site -- 2.2 Field Measurements -- 2.3 UAV Flight and Data Processing -- 2.4 Analysis -- 2.5 Vegetation Indices -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Machine Learning and Artificial Intelligence for Geoespatial Data and Problems -- Evaluating the Effectiveness of Projection Techniques for the Semantic Segmentation of LIDAR-Captured Point Clouds -- 1 Introduction -- 2 Overview of Methodology -- 2.1 Height Normalization and Point Alignment -- 2.2 2D Projection Techniques -- 2.3 Network Architecture -- 2.4 Label Propagation in 3D Point Cloud Segmentation -- 3 Experiments -- 3.1 Results -- 4 Conclusion and Future Directions -- References -- How to Integrate AI into Spatial Data Infrastructures: Evolution of the UCuenca SDI -- 1 Introduction -- 2 Material and Method -- 2.1 Technologies Used to Update the UCuenca SDI Architecture -- 2.2 Virtual Assistant System Architecture -- 2.3 Virtual Assistant Design and Modeling -- 2.4 Wizard Training and Programming of Custom Functions -- 2.5 VA Deployment and Integration with the Spatial Data Infrastructure Portal -- 3 Results -- 4 Evaluation -- 5 Conclusions -- References -- Can Social Media Data Help to Understand the Socio-spatial Heterogeneity of the Interests and Concerns of Urban Citizens? A Twitter Data Assessment for Mexico City -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition -- 2.2 Data Preprocessing -- 2.3 Topic Modeling. , 2.4 Data Analysis -- 3 Results and Discussion -- 4 Conclusions -- References -- Super-Resolution of LiDAR Data Using EDSR-CBAM Neural Networks -- 1 Introduction -- 2 Literature Review -- 2.1 Super-Resolution Methods in Images -- 2.2 Networks with Attention Mechanisms for SR -- 2.3 Super-Resolution Methods in Point Clouds -- 3 Spherical Projection -- 4 Methodology -- 4.1 The EDSR-CBAM Architecture Employed -- 4.2 Dataset Description -- 5 Experiments and Results -- 5.1 Preprocessing and Metrics of Quality -- 5.2 Training Details -- 5.3 Quantitative Evaluation of Results -- 6 Discussion -- 7 Conclusion -- References -- A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning -- 1 Introduction -- 2 Methodology -- 2.1 Study Site -- 2.2 Data Acquisition -- 2.3 Plant Counting -- 2.4 Coverage Estimation -- 2.5 Evaluation Criteria -- 3 Results and Discussion -- 3.1 Plant Counting -- 3.2 Coverage Estimation -- 4 Conclusions -- References -- Framing the Forest: A Comparative Analysis of Google Earth Engine Classifiers for Accurate Species Extraction -- 1 Introduction -- 2 Material and Methods -- 2.1 Study Area -- 2.2 Materials -- 2.3 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Applications of Geospatial Data -- Espacio Clandestino: A Nationwide Platform to Support Clandestine Graves Search in Mexico -- 1 Introduction -- 2 Platform Design and Development -- 2.1 Clandestine Space: Concept and Realization -- 2.2 Additional Dimensions -- 3 Graves Data -- 4 Use Cases -- 4.1 Guerrero -- 4.2 Baja California -- 5 Results and Discussion -- References -- Susceptibility of the Vegetation to Forest Fires in the Dry Forest of Ocaña-Colombia -- 1 Introduction -- 2 Methodology -- 2.1 Fuel Type -- 2.2 Fuel Life -- 2.3 Fuel Load -- 2.4 Threat from Susceptibility of Vegetation to Fire. , 3 Results -- 4 Conclusions -- References -- Identification of Hazard Zones Due Mass Movements in the Sierra Norte de Puebla, México -- 1 Introduction -- 2 Description of the Study Area -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusion -- Appendix 1 -- Appendix 2 -- References -- Analysis of Semivariogram Features to Infer Land Cover Textures in Satellite Imagery -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Set -- 2.2 Semivariogram -- 3 Extraction of Texture Features Using Semivariogram -- 4 Results -- 4.1 Differentiation of Coverage Types -- 4.2 Feature Analysis to Identify Cover Type Textures Using Images with Different Moisture Content -- 5 Conclusion -- References -- Citizen Participation in the Management of Territorial Information -- 1 Introduction -- 2 The Management of Territorial Information in Parish Plans -- 3 Conclusions -- References -- Estimating Land Cover Changes Using Multi-temporal Spectral Index Raster Stacks in the Chinampas of Xochimilco -- 1 Introduction -- 2 Material and Methods -- 2.1 Study Area -- 2.2 Material (Data, Hardware and Software) -- 2.3 Methods -- 3 Results -- 3.1 Multi-temporal Spectral Index Analyses Year Comparison -- 3.2 Multi-temporal Spectral Index Analyses Year and Month Comparison -- 4 Discussion -- 5 Conclusions -- References.

Additional Edition: ISBN 3-031-61439-9

Language: English