| 1. |
-
Geospatial Analysis and Modelling of Urban Structure and Dynamics
- 2010
-
Samlingsverk (redaktörskap) (övrigt vetenskapligt/konstnärligt)abstract
- The increasingly urbanized world has created various problems of environment, climate, consumption of resources, and public health, which are closely linked to the side-effects of urbanization such as sprawl, congestion, housing affordability and loss of open space. Fundamental to the urban problems are two separate yet related issues: urban structure and urban dynamics. The chapters collected in this book present an excellent profile of the current state of geospatial analysis and modelling, and demonstrate how these approaches can contribute to the study of various urban issues. The book addresses key themes including new ways of capturing data digitally at the individual level, the development of systems based around networks, the notion of linking hierarchy to networks to morphology as in complexity theory, and the development of new ways of integrating diverse urban processes through simulation paying careful attention to the basic econometric and statistical principles of spatial analysis.
|
|
| 2. |
- Jiang, Bin, et al.
(författare)
-
Geospatial Analysis and Modeling of Urban Structure and Dynamics: An Overview
- 2010
-
Ingår i: Geospatial Analysis and Modelling of Urban Structure and Dynamics. - Dordrecht : Springer Nature. ; , s. 3-11, s. 3-11
-
Bokkapitel (refereegranskat)abstract
- Geographic information research and technologies have experienced over four decades of development, from the mainframe to the workstation to the desktop, and to today’s laptop and mobile devices. Every important GIS development is driven by a significant breakthrough of mainstream information technology. For example, the 1980s was characterized by the popularity of personal computers that were increasingly becoming affordable to university departments, governmental agencies and private sectors. Many university GIS programs were established during this time period, and the NSF-funded NCGIA played an important role in coordinating the development of course curriculum and related research activities. The next decade can be named the age of GIScience. GIScience is the science behind GISystens, dealing with fundamental questions raised by the use of GISystems and technologies (Goodchild 1997). It occurred at the time when the Internet and the World Wide Web started to change the way we led our lives and ran our businesses. It was the Internet and the Web that made the GIS community think of a service oriented approach to GIS, namely GIServices (Günther and Müller 1999). Instead of owning a GIS, end users can be served by GIS functionalities from a remote GIService center. GIServices aim to develop distributed or decentralized GIS to serve individuals and communities for spatial planning and decision making, as well as for their daily life. Another perspective of GIS is GIStudies for studying the impacts of geographic information and technologies on society.
|
|
| 3. |
- Wang, Zhaoming, et al.
(författare)
-
Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
- 2014
-
Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 23:24, s. 6616-6633
-
Tidskriftsartikel (refereegranskat)abstract
- Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
|
|
