2022 Q1 Feature Papers



1. https://www.mdpi.com/2220-9964/11/1/35
 Krejčí, J.; Cajthaml, J. Historical Vltava River Valley–Various Historical Sources within Web Mapping Environment. ISPRS Int. J. Geo-Inf. 2022, 11, 35. https://doi.org/10.3390/ijgi11010035

2. https://www.mdpi.com/2220-9964/11/2/113
 Gómez Zapata, J.C.; Zafrir, R.; Pittore, M.; Merino, Y. Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions. /ISPRS Int. J. Geo-Inf./ *2022*, /11/, 113. https://doi.org/10.3390/ijgi11020113

3. https://www.mdpi.com/2220-9964/11/2/97
 Khokhlova, M.; Abadie, N.; Gouet-Brunet, V.; Chen, L. GisGCN: A Visual Graph-Based Framework to Match Geographical Areas through Time. /ISPRS Int. J. Geo-Inf./ *2022*, /11/, 97. https://doi.org/10.3390/ijgi11020097

4. https://www.mdpi.com/2220-9964/11/2/77
 Ruiz-Varona, A.; Lacasta, J.; Nogueras-Iso, J. Self-Organizing Maps to Evaluate Multidimensional Trajectories of Shrinkage in Spain. ISPRS Int. J. Geo-Inf. 2022, 11, 77. https://doi.org/10.3390/ijgi11020077

5. https://www.mdpi.com/2220-9964/11/2/96
 Melo, A.; Er-Rahmadi, B.; Pan, J.Z. A System for Aligning Geographical Entities from Large Heterogeneous Sources. ISPRS Int. J. Geo-Inf. 2022, 11, 96. https://doi.org/10.3390/ijgi11020096

6. https://www.mdpi.com/2220-9964/11/2/91
 Schorcht, M.; Hecht, R.; Meinel, G. Comparative Study on Matching Methods for the Distinction of Building Modifications and Replacements Based on Multi-Temporal Building Footprint Data. ISPRS Int. J. Geo-Inf. 2022, 11, 91. https://doi.org/10.3390/ijgi11020091

7. https://www.mdpi.com/2220-9964/11/2/76
 Claridades, A.R.C.; Choi, H.-S.; Lee, J. An Indoor Space Subspacing Framework for Implementing a 3D Hierarchical Network-Based Topological Data Model. ISPRS Int. J. Geo-Inf. 2022, 11, 76. https://doi.org/10.3390/ijgi11020076

8. https://www.mdpi.com/2220-9964/11/2/87
 Lacasta, J.; Lopez-Pellicer, F.J.; Zarazaga-Soria, J.; Béjar, R.; Nogueras-Iso, J. Approaches for the Clustering of Geographic Metadata and the Automatic Detection of Quasi-Spatial Dataset Series. ISPRS Int. J. Geo-Inf. 2022, 11, 87. https://doi.org/10.3390/ijgi11020087

9. https://www.mdpi.com/2220-9964/11/3/169
 Walker, J.; Poliziani, C.; Tortora, C.; Schweizer, J.; Rupi, F. Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies. ISPRS Int. J. Geo-Inf. 2022, 11, 169. https://doi.org/10.3390/ijgi11030169

10. https://www.mdpi.com/2220-9964/11/3/195
 Werner, P.A.; Kęsik-Brodacka, M.; Nowak, K.; Olszewski, R.; Kaleta, M.; Liebers, D.T. Modeling the Spatial and Temporal Spread of COVID-19 in Poland Based on a Spatial Interaction Model. ISPRS Int. J. Geo-Inf. 2022, 11, 195. https://doi.org/10.3390/ijgi11030195

11. https://www.mdpi.com/2220-9964/11/3/198
 Palaiologou, P.; Kalabokidis, K.; Day, M.A.; Ager, A.A.; Galatsidas, S.; Papalampros, L. Modelling Fire Behavior to Assess Community Exposure in Europe: Combining Open Data and Geospatial Analysis. ISPRS Int. J. Geo-Inf. 2022, 11, 198. https://doi.org/10.3390/ijgi11030198

12. https://www.mdpi.com/2220-9964/11/3/180
 Jochecová, K.; Černý, M.; Stachoň, Z.; Švedová, H.; Káčová, N.; Chmelík, J.; Brůža, V.; Kvarda, O.; Ugwitz, P.; Šašinková, A.; et al. Geography Education in a Collaborative Virtual Environment: A Qualitative Study on Geography Teachers. ISPRS Int. J. Geo-Inf. 2022, 11, 180. https://doi.org/10.3390/ijgi11030180

13. https://www.mdpi.com/2220-9964/11/4/222
 Ren, S.; Malof, J.; Fetter, R.; Beach, R.; Rineer, J.; Bradbury, K. Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning. ISPRS Int. J. Geo-Inf. 2022, 11, 222. https://doi.org/10.3390/ijgi11040222

14. https://www.mdpi.com/2220-9964/11/4/211
 Buffa, C.; Sagan, V.; Brunner, G.; Phillips, Z. Predicting Terrorism in Europe with Remote Sensing, Spatial Statistics, and Machine Learning. ISPRS Int. J. Geo-Inf. 2022, 11, 211. https://doi.org/10.3390/ijgi11040211

15. https://www.mdpi.com/2220-9964/11/3/206
 Vavassori, A.; Oxoli, D.; Brovelli, M.A. Population Space–Time Patterns Analysis and Anthropic Pressure Assessment of the Insubric Lakes Using User-Generated Geodata. ISPRS Int. J. Geo-Inf. 2022, 11, 206. https://doi.org/10.3390/ijgi11030206