Center for Spatial Studies
Parent: UC Santa Barbara
eScholarship stats: History by Item for December, 2024 through March, 2025
Item | Title | Total requests | 2025-03 | 2025-02 | 2025-01 | 2024-12 |
---|---|---|---|---|---|---|
4774h1rm | Edward T. Hall, Proxemic Theory, 1966. <em>CSISS Classics</em> | 3,620 | 993 | 831 | 894 | 902 |
47j411pr | Clifford R. Shaw and Henry D. McKay, The Social Disorganization Theory. <em>CSISS Classics</em> | 3,601 | 810 | 865 | 776 | 1,150 |
6f39q98d | Robert Park and Ernest Burgess, Urban Ecology Studies, 1925. <em>CSISS Classics</em> | 1,422 | 401 | 372 | 320 | 329 |
3018p230 | Ernest George Ravenstein, The Laws of Migration, 1885. <em>CSISS Classics</em> | 972 | 235 | 226 | 243 | 268 |
1k3927t6 | Alfred Weber, Theory of the Location of Industries, 1909. <em>CSISS Classics</em> | 874 | 260 | 212 | 196 | 206 |
3ph5k0d4 | What is Special About Spatial Data? Alternative Perspectives on Spatial Data Analysis (89-4) | 431 | 127 | 89 | 119 | 96 |
05r820mz | Three Presentations on Geographical Analysis and Modeling: Non- Isotropic Geographic Modeling; Speculations on the Geometry of Geography; and Global Spatial Analysis (93-1) | 385 | 104 | 94 | 91 | 96 |
9mg793hk | Unit 164 - Land Information Systems and Cadastral Applications | 312 | 86 | 93 | 68 | 65 |
4g91v449 | Data augmentation for spatial disease mapping | 298 | 100 | 67 | 61 | 70 |
7tw1h2b3 | DeepMCLP: Solving the MCLP with Deep Reinforcement Learning for Urban Spatial Computing | 297 | 68 | 56 | 84 | 89 |
6d858764 | A Glossary of GIS Terminology (92-13) | 288 | 65 | 72 | 94 | 57 |
9fq454wm | Charles M. Tiebout, A Pure Theory of Local Expenditures, 1956. <em>CSISS Classics</em> | 276 | 67 | 66 | 76 | 67 |
5x78n2gn | Ian McHarg, Overlay Maps and the Evaluation of Social and Environmental Costs of Land Use Change. <em>CSISS Classics</em> | 230 | 51 | 55 | 58 | 66 |
4rg9t7wv | Bronislaw Malinowski, Identifying the Kula Ring of the Trobriand Islanders: The Role of Ethnographic Field Observation in Pattern Recognition. <em>CSISS Classics</em> | 220 | 49 | 50 | 70 | 51 |
7s73860q | Georg Simmel, The Sociology of Space. <em>CSISS Classics</em> | 220 | 49 | 51 | 73 | 47 |
09v5z6fg | Hans Kurath, Linguistic Atlas of the United States. <em>CSISS Classics</em> | 187 | 41 | 35 | 43 | 68 |
05k2p1jx | A Hierarchical Spatial Data Structure for Global Geographic Information Systems (89-5) | 183 | 47 | 44 | 40 | 52 |
9492q6sm | Discrete Global Grids: A Web Book | 156 | 38 | 49 | 38 | 31 |
64h832hd | ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs | 145 | 48 | 38 | 31 | 28 |
58w157nm | Spatial Data Analysis with GIS: An Introduction to Application in the Social Sciences (92-10) | 140 | 26 | 35 | 36 | 43 |
6p93g6wd | A Role for Geographic Information Systems in the Secondary Schools: An Assessment of the Current Status and Future Possibilities | 139 | 33 | 40 | 36 | 30 |
0kt69058 | The Global Demography Project (95-6) | 138 | 41 | 31 | 36 | 30 |
9mn2v1f7 | Edward Tufte, The Visual Display of Quantitative Information, 1983. <em>CSISS Classics</em> | 137 | 43 | 33 | 31 | 30 |
9bw2d2rw | GIS and Society: The Social Implications of How People, Space, and Environment Are Represented in GIS- Scientific Report for the Initiative 19 Specialist Meeting (96-7) | 116 | 23 | 35 | 28 | 30 |
2rb3b39r | GIS Laboratory Exercises: Introduction to GIS 2nd edition (96-12) | 112 | 24 | 32 | 37 | 19 |
9xh963vb | Kevin Lynch, City Elements Create Images in Our Mind, 1960. <em>CSISS Classics</em> | 112 | 30 | 28 | 22 | 32 |
2t75b8sj | Torsten Hӓgerstrand, Time Geography. <em>CSISS Classics</em> | 111 | 26 | 35 | 34 | 16 |
43x094z3 | Third International Conference/Workshop on Integrating GIS and Environmental Modeling | 103 | 34 | 25 | 22 | 22 |
7w47b1tm | Unit 051 - Information Organization and Data Structure | 103 | 55 | 35 | 8 | 5 |
82z1x4dj | Gordon R. Willey, Settlement Patterns in Archaeology. <em>CSISS Classics</em> | 97 | 19 | 33 | 21 | 24 |
9jt506nw | Varenius: NCGIA's Project to Advance Geographic Information Science | 93 | 29 | 29 | 12 | 23 |
6k31s9jb | Constantinos Doxiadis, Ekistics, 1968. <em>CSISS Classics</em> | 90 | 16 | 35 | 22 | 17 |
39t1r3cd | Agent-based Models of Land Use / Land Cover Change | 85 | 19 | 23 | 26 | 17 |
9xq3k956 | John Snow, The London Cholera Epidemic of 1854. <em>CSISS Classics</em> | 84 | 22 | 32 | 19 | 11 |
02r7z6qw | Johann-Heinrich von Thünen, Balancing Land-Use Allocation with Transport Cost. <em>CSISS Classics</em> | 82 | 13 | 20 | 32 | 17 |
51x4g3qh | G. William Skinner, Marketing in Rural China, 1964–1965. <em>CSISS Classics</em> | 82 | 31 | 18 | 23 | 10 |
81g5n0tq | Visualizing environmental justice issues in urban areas with a community input approach | 82 | 23 | 35 | 17 | 7 |
5pq9m712 | 4DModeller (fdmr): A Comprehensive R Package for Spatio-Temporal Modelling | 81 | 29 | 24 | 14 | 14 |
7wp0k0bb | Spatially Integrated Social Science | 80 | 21 | 20 | 19 | 20 |
03g9b41f | Responsible Urban Intelligence: Towards a Research Agenda | 79 | 24 | 22 | 16 | 17 |
9sw3c9vf | Alice Coleman, Design Disadvantagement, 1985. <em>CSISS Classics</em> | 79 | 25 | 20 | 16 | 18 |
60v7597c | Assessing Correlation Between Night-Time Light and Road Infrastructure: An Empirical Study | 77 | 17 | 30 | 17 | 13 |
7902g5hh | "Data Horror": Mapping (Spatial) Data Privacy Violations onto a Cognitive Account of Horror | 76 | 31 | 10 | 14 | 21 |
14m138cz | Unit 14: On-Screen Digitizing | 75 | 20 | 19 | 25 | 11 |
2sh2c3w0 | Operationalizing Spatial Causal Inference | 75 | 23 | 14 | 24 | 14 |
6188p69v | Walter Christaller, Hierarchical Patterns of Urbanization. <em>CSISS Classics</em> | 72 | 18 | 17 | 17 | 20 |
0kb4z5hq | Embodied digital twins of forest environments | 71 | 19 | 16 | 21 | 15 |
9q94d63j | Unit 9: Spatial Data Conversion | 71 | 18 | 22 | 17 | 14 |
2pc4m4cg | Using a narrative-based approach as a safeguard against bias related harm in algorithmic tools and services | 69 | 22 | 17 | 12 | 18 |
3g26f143 | Charles Booth, Mapping London's Poverty, 1885–1903. <em>CSISS Classics</em> | 69 | 20 | 17 | 19 | 13 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.