Representation of Soft and Hard Data for Urban Areas—Case Studies in Berlin and Karlsruhe

1981 ◽  
Vol 13 (12) ◽  
pp. 1563-1575
Author(s):  
H F Kern
Keyword(s):  
Data Acquisition ◽  
Case Studies ◽  
Urban Areas ◽  
Soft Data ◽  
Hard Data ◽  
Computer Aided Analysis ◽  
Computer Aided ◽  
Computer Cartography

This paper examines the utility of hard and soft data in computer cartography, with respect both to the method of data acquisition and to the type of information recorded. The potential and problems of linking computer aided analysis with automated cartographic representation are considered. By way of illustrative examples, the objectives of two case studies in Berlin and Karlsruhe are stated and some of the relevant cartographical results reproduced.

scholarly journals Static Geological Modelling with Knowledge Driven Methodology

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3802
Author(s):  
Jun Li ◽  
Xiaoying Zhang ◽  
Bin Lu ◽  
Raheel Ahmed ◽  
Qian Zhang
Keyword(s):  
Case Studies ◽  
Oil And Gas ◽  
Fracture Network ◽  
Depositional Environments ◽  
Soft Data ◽  
Oil And Gas Exploration ◽  
Hard Data ◽  
The North ◽  
Geological Modelling ◽  
Exploration And Production

Geological modelling is an important topic of oil and gas exploration and production. A new knowledge driven methodology of geological modelling is proposed to address the problem of “hard data” limitation and modelling efficiency of the conventional data driven methodology. Accordingly, a new geological modelling software (DMatlas) (V1.0, Dimue, Wuhan, China) has been developed adopting a grid-free, object-based methodology. Conceptual facies models can be created for various depositional environments (such as fluvial, delta and carbonates). The models can be built largely based on geologists’ understandings with “soft data” such as outcrops analysis and geological maps from public literatures. Basic structures (fault, folds, and discrete fracture network) can be easily constructed according to their main features. In this methodology, models can be shared and re-used by other modelers or projects. Large number of model templates help to improve the modelling work efficiency. To demonstrate the tool, two case studies of geological modelling with knowledge driven methodology are introduced: (1) Suizhong 36-1 field which is a delta depositional environment in Bohai basin, China; (2) a site of the north Oman fracture system. The case studies show the efficiency and reliability within the new methodology.

DETECTING HIDDEN FAULTS IN URBAN AREAS: CASE STUDIES AND METHODOLOGIES

2018 ◽  
Author(s):  
Amanda R. Hultz ◽  
◽  
Kerri M. Gefeke ◽  
Kerri M. Gefeke ◽  
Elana Balch ◽  
...  
Keyword(s):  
Case Studies ◽  
Urban Areas

scholarly journals Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa

2021 ◽  
Vol 13 (3) ◽  
pp. 525
Author(s):  
Yann Forget ◽  
Michal Shimoni ◽  
Marius Gilbert ◽  
Catherine Linard
Keyword(s):  
Case Studies ◽  
Urban Areas ◽  
Urban Expansion ◽  
Local Population ◽  
Sub Saharan Africa ◽  
Annual Growth Rate ◽  
Urban Dynamics ◽  
Mapping Approach ◽  
Sub Saharan ◽  
The Impact

By 2050, half of the net increase in the world’s population is expected to reside in sub-Saharan Africa (SSA), driving high urbanization rates and drastic land cover changes. However, the data-scarce environment of SSA limits our understanding of the urban dynamics in the region. In this context, Earth Observation (EO) is an opportunity to gather accurate and up-to-date spatial information on urban extents. During the last decade, the adoption of open-access policies by major EO programs (CBERS, Landsat, Sentinel) has allowed the production of several global high resolution (10–30 m) maps of human settlements. However, mapping accuracies in SSA are usually lower, limited by the lack of reference datasets to support the training and the validation of the classification models. Here we propose a mapping approach based on multi-sensor satellite imagery (Landsat, Sentinel-1, Envisat, ERS) and volunteered geographic information (OpenStreetMap) to solve the challenges of urban remote sensing in SSA. The proposed mapping approach is assessed in 17 case studies for an average F1-score of 0.93, and applied in 45 urban areas of SSA to produce a dataset of urban expansion from 1995 to 2015. Across the case studies, built-up areas averaged a compound annual growth rate of 5.5% between 1995 and 2015. The comparison with local population dynamics reveals the heterogeneity of urban dynamics in SSA. Overall, population densities in built-up areas are decreasing. However, the impact of population growth on urban expansion differs depending on the size of the urban area and its income class.

scholarly journals Computer-Aided Analysis of the “Beautiful” Umbilicus

2014 ◽  
Vol 34 (5) ◽  
pp. 748-756 ◽  
Author(s):  
Shu Jin Lee ◽  
Saurabh Garg ◽  
Heow Pueh Lee
Keyword(s):  
Computer Aided Analysis ◽  
Computer Aided
Sign in / Sign up

Export Citation Format

Share Document