Open AccessBook
Geographic Information Systems for Geoscientists: Modelling with GIS
TLDR
An introduction to GIS and tools for map analysis: map pairs, spatial data models, and more.Abstract:
Chapter headings. Introduction to GIS. Spatial data models. Spatial data structures. Spatial data input. Visualization and query of spatial data. Spatial data transformations. Tools for map analysis: single maps. Tools for map analysis: map pairs. Tools for map analysis: multiple maps.read more
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Journal ArticleDOI
Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
TL;DR: In this paper, the authors used geomorphological information to assess areas at high landslide hazard, and help mitigate the associated risk, and found that despite the operational and conceptual limitations, landslide hazard assessment may indeed constitute a suitable, cost-effective aid to land-use planning.
Journal ArticleDOI
GIS-based land-use suitability analysis: a critical overview
TL;DR: In this paper, the authors provide an introduction to geographical information technology along with an historical perspective on the evolving role of Geographic Information Systems (GIS) in planning, overview relevant methods and techniques for GIS-based land-use suitability mapping and modeling, and identify the trends, challenges and prospects of GISbased land use suitability analysis.
Book
Applied Spatial Statistics for Public Health Data
Lance A. Waller,Carol A. Gotway +1 more
TL;DR: In this paper, the authors present a method for estimating risk and risk of cancer in public health data using statistical methods for spatial data in the context of geographic information systems (GISs).
Journal ArticleDOI
Landslide hazard and risk zonation—why is it still so difficult?
TL;DR: In this paper, the authors review the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability.
Journal ArticleDOI
A review of statistically-based landslide susceptibility models
TL;DR: In this paper, a critical review of statistical methods for landslide susceptibility modelling and associated terrain zonations is presented, revealing a significant heterogeneity of thematic data types and scales, modelling approaches, and model evaluation criteria.