A better understanding of quantitative geography is as a creative act of applied data analysis – geographical ‘story telling’ with data – for which new sources of information, better access to data and new technologies for mapping and presentation provide fresh insights into geographical processes and outcomes.
It is commonly used to formulate theories and hypotheses. Qualitative data tends to be subjective because it describes certain problems or conditions from the point of view of those who experience it. To be valid and reliable, it largely depends on the skill and rigor of the researcher. Here are some examples:
The focus is on the development of a working knowledge of statistical and quantitative techniques and the application of these to geographic data sets. Emphasis will be placed upon sound practices in data acquisition, the development of problem structures, and the evaluation and interpretation of solutions.
Quantitative data is information that can be expressed by numbers or that can be placed into specific categories. It provides you with quantifiable information. The data is generalizable and can easily be transformed into statistics. It's often used to test and prove previously specified concepts or hypotheses.
They allow the formulation of structured ideas and theories which can be tested under the assumed conditions. They help in deriving suitable models to understand the interaction of the evolved factors and their process within the models and with reference to observed facts.
As noted previously, ultimately quantitative geography is the collection of methods that are applied, or could/can be applied, by geographers and others to study spatial phenomena, issues and problems, often over time.
Geographic data can be qualitative or quantitative.
Quantitative Methods is an introduction to using statistical methods to solve business problems. The course teaches statistics from the management perspective and places special emphasis on developing the skills and instincts needed to make good decisions and become a more effective manager.
Quantitative research is more preferred over qualitative research because it is more scientific, objective, fast, focused and acceptable. However, qualitative research is used when the researcher has no idea what to expect. It is used to define the problem or develop and approach to the problem.
Ron Johnston Ron Johnston (geographer) and Bristol colleagues have argued and documented how quantitative methods can be used in a critical geography.
According to Akinbode (1996) , research method in geography involves all the processes of field investigation, data collection, data processing and analysis, data classification and interpretation as well as tests of significance which are designed to establish the critical level of association among diverse geographic ...
Quantitative research is widely used in the natural and social sciences: biology, chemistry, psychology, economics, sociology, marketing, etc.
Qualitative research is the collection of information about human behaviour and perception. It is about focusing in depth to find out why and how certain activities and events occur.
Quantitative analysis, in several contexts, such as chemistry, finance, or business, refers to understanding the condition using mathematical approach. However, statistics is the science of collecting data, processing them into a valuable information, then analysing them.
Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.
The purpose of quantitative research is to attain greater knowledge and understanding of the social world. Researchers use quantitative methods to observe situations or events that affect people. Quantitative research produces objective data that can be clearly communicated through statistics and numbers.
Geography involves studying different areas and phenomena such as physical features and events like the current of a river and the distribution of climate zones, or human characteristics like the population of a country and the impact they have on the environment. This scientific knowledge usually comes from the data that someone collected ...
Quantitative data is more objective because it provides specific values about concrete elements. To be valid and viable, it depends not only on the skill of the researcher but also on the accuracy of the measurements.
Geographic data can be very diverse. In geography, there are two main types of data; quantitative and qualitative data.
At a personal level, geographic data can help you to know more about where you live and its surroundings and can help you make decisions.
Geographic data can be useful for decision-making at different levels. It can help individuals to evaluate possible locations for working or living. It helps companies identify potential markets and locations and to direct marketing campaigns. At a government level, data helps policymakers to identify economic, social, and environmental issues and direct programs and resources accordingly.
Data is also important for governments and can be used by policymakers to identify issues and direct social, economic, or environmental programs. Governments sometimes use geographic information to establish social programs for vulnerable populations or to implement measures for mitigating environmental impact.
Researchers usually ask questions of a number of individuals (a sample). The results serve to identify trends, often generalized to the entire population, for example, a survey about unemployment or commute times.
The course will employ a variety of instructional methods to accomplish its objectives, including some of the following: lecture, labs, observation, analysis and interpretation of geographic data, multimedia, individual and/or team projects and small group discussions.
GEOG 2251-001 is considered UT Statistics for Associate Degrees. Prerequisite is one 1100-level Geography course, or permission of instructor. GEOG 2251-002 is considered UT Statistics for Associate Degrees. Prerequisite is one 1100-level Geography course, or permission of instructor.
A better understanding of quantitative geography is as a creative act of applied data analysis – geographical ‘story telling’ with data – for which new sources of information, better access to data and new technologies for mapping and presentation provide fresh insights into geographical processes and outcomes.
Written by Richard Harris, School of Geographical Sciences, University of Bristol. Summary. This short report provides a short introduction to quantitative geography (or, why geography without quantitative methods just does not add up), its history and why it is of on-going importance within the discipline. It argues that quantitative geography is ...
MAT 183 Mathematics for Life Sciences emphasizes the applicability of mathematical content in the biological sciences as well as practical computational training suitable to upper level study in the biological sciences. Moreover, the course will present different content areas that are absent from a traditional precalculus course but are of particular suitability for computational problems that arise in the life sciences.
This course does not serve as a prerequisite for MAT 292 (Calculus II). This is a terminal course and not adequate preparation for MAT 296 Calculus B.