Data preparation and network analysis Literature review

Data zeal and earnings analysis - Literature review ExampleFinding meaningful data about communitys access to urban super acid steads with regard to the peoples reasons for using such(prenominal) spaces and when and how they use them is considerably weighed down by the fact that survey data from local authorities is rather inconsistent. Various methods concord been developed to help in data collection on local green space needs. Methods such as Best Value processes are viable in realising green space needs for populations in worlds such as the Madinah region of UAE. The benchmark questions used in the Best Value User atonement Survey are relatively basic meaning that more viable information should be sourced from the lit review of past surveys, as well as the analysis of other similar areas around the demesne (Cope 2009, 174). Telephone surveys with the public can be used to find out or estimate the soma of urban green space users for every green space located in their vic inity. This module of data preparation is perhaps best for the quantification of urban dwellers access to green spaces and the estimation of future green space needs and the capacity of current green spaces to meet these needs. In England, for example, a telephone survey showed that 2.25 trillion people make a minimum of 184 visits to the nearest urban space annually (Knigge and Cope2006, 2031). ... This is all important(p) in network analysis as it allows for the identification of peak times when green spaces are loosely used, as well as the documentation of whether or not the green spaces have the capacity to appropriate populations during peak visits (Neimeier 1997, 381). Afternoons, weekends and holiday times, are notably the key times for green space use. Other people have seasonal green space use patterns, which are largely influenced by prevailing stomach patterns. Notably, men are slightly higher users if green spaces than their female counterparts. However, most local authority surveys do not give an indication on whether ethnic minority groups or disabled persons are equitably represented among green space users. This is perhaps the greatest limitation of using local authority surveys in data collection and network analysis of urban green spaces (Forman 2005, 203). As earlier cited, data preparation can take several formats. Thematic data generation is one such method. This entails the generation of area maps and conduct of an analysis of the regions remote sensing data. Here, urban green spaces are digitised and categorize using visual interpretation methodology like Cartosat II and LISS-IV merge product in bowing GIS Ver.9.3 (Van Herzele 2003, 119). Under this module, urban green spaces are categorised as among others railway green, playgrounds, open green, water bodies, industrial green, built ups, parks and roadside green (Barbosa, Tratalos, et al, 2007, 189). Using the selection by attribute query at heart Arc GIS, the different categori es of urban green spaces are separated and exported into different categories of either public and green spaces. All types of green spaces are then assigned different