Spatial Aspects of Poverty and Inequality
Spatial analysis of poverty and inequality requires powerful technology, an only means to accurately classify places depending on wealth they possess in a country. Technology has been used for many activities, climate analysis being an example activity. An analysis of disasters in climate or weather changes and natural events like earthquakes needs powerful technology. An example of tools important for discovering a lot about places is a Remote sensor. As Herold et al. posit, many hidden things about regions or places can be discovered using technological tools or technologies called satellite imagery and remote sensing (2003). These clearly give an understanding of places in terms of how well are basic needs affordable by all citizens, that is, how large is the number of individuals who live above poverty lines. Any complexities, as Hirold et al. posit, that will need assistance imply more and more powerful techniques, tools and other secrets. Research on poverty and inequalities through technology reveals much about places or regions in a country (Engstrom et al, 2016). It would reveal relationships between or among places. This can be achieved through use of technology that shows how close or far country locations are. Building structures alone cannot measure poverty or inequality.
According to Engstrom data obtained from satellite is useful for conducting research because it forms the basis of all other decisions made about poverty in different country locations and it is useful in fighting against poverty in different regions of the country (Engstrom, 2018). In addition, Engstrom et al., acknowledge that the value of technology has been upheld in the struggle against poverty and result is a balance in wealth among individuals located in different areas of a given country. Not all countries in the world carry out research or survey to determine poverty levels in different country locations. In such countries, apart from research on poverty, other purposed research on population, economy and other important matters to the country are never taken serious. Elvidge argues that satellite data can be very useful in identification and reduction of poverty (2009).
Satellite data can be important for classification of places depending on age of present building structures, that is, old or recently put up. Industrialization and urbanization are other important means of identifying and classifying locations based on poverty. This way of determination focuses on physical materials that place have, tangible or visible material properties. Hansen et al. (2000) put it that by remote sensing, research individuals have gained knowledge about places including Buraydah. Morikawa (2014) puts it clear that through remote sensing, income in different locations can be well categorized, areas can be said to be developed or underdeveloped, industries considered and natural resources realized. Researchers exist of different types. Those concerned with geographical areas, as Champion and other, and space have been advantageous to utilize advanced data from satellite and imagery in special analysis of places very efficient ways to carry out their research work.(1999). Thus, many technologies can be used to professionally analyze places.
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Spatial Aspects of Poverty and Inequality. (2019, Oct 17). Retrieved from https://papersowl.com/examples/spatial-aspects-of-poverty-and-inequality/
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