1
Topic-1
Concept and Meaning of Statistics in Geography:
Statistics in Geography is the science of collecting, analyzing, and interpreting geographical data.
Statistics in Geography refers to the application of statistical methods and tools to collect, analyze, and
interpret geographical data. Basically, it helps geographers understand patterns, relationships, and trends in
both physical and human environments.
Yeats (1974), "Statistics in geography is the science of the collection, presentation, analysis, and interpretation
of numerical data relating to the earth and its phenomena."
Gregory & Wall (1981), “Statistics in geography is the use of numerical methods to analyze patterns and
trends.”
What is Statistics?
Statistics is the practice of collecting, analyzing, interpreting and presenting numerical data.
Significances of Statistics in Geography:
Statistics plays a significant role in geography by providing tools and techniques to analyze and interpret
spatial data. Here are some key points highlighting the significance of statistics in geography:
Data Analysis: Statistics allows geographers to analyze large datasets and extract meaningful information. It
helps in summarizing, organizing, and visualizing spatial data.
Spatial Patterns: Statistics helps geographers to identify and understand spatial patterns in various
geographic phenomena. By using statistical techniques, geographers can identify hotspots, spatial trends, and
spatial dependencies.
Spatial Modeling: Statistics provides geographers with the tools to develop spatial models that help in
understanding the complex interactions between different variables and their spatial distribution.
Decision Making: Statistics help geographers and planners to make better choices based on studying
population, land use, weather, or natural resources to understand current conditions and future needs. This
supports planning for things like schools, hospitals, roads, or managing issues like floods and deforestation.
Geographic Information Systems (GIS): Statistics is an integral part of GIS. Basically, GIS combines spatial
data with statistical analysis to create maps more detailed, perform spatial queries, examine spatial patterns
and so on.
Spatial Data Visualization: Statistics plays a key role in turning complex geographic data into clear and
meaningful visual forms as maps, graphs, and charts. These visual tools make geographically spatial
information easier to understand, interpret, analyze and making decision.
In summary, statistics plays a crucial role in geography by providing tools and techniques to analyze, interpret,
and visualize spatial data. It helps geographers understand spatial patterns, develop spatial models, make
informed decisions, and communicate their findings effectively.
Geographers use statistics in numerous ways
• To summarize and explain geographic data clearly.
• To understand and describe patterns across different areas.
, 2
• To predict the chance of events at specific locations.
• To use sample data to learn about a larger population or region.
• To compare how phenomena vary from place to place.
• To check if observed patterns match expected trends.
Topic-2
Sources of Data:
Data: Unauthorized form of facts or numerical value.
Information: When a data is organized it’s called information.
• What is Data:
Data refers to raw facts, figures, or symbols that have not yet been processed to reveal meaning. It can be
numbers, text, audio or video. Simply, we can say data is an unauthorized or unprocessed facts or numerical
value.
There are two types of data we have_
• Qualitive data (descriptive)- color, gender, name-information, types of soil.
• Quantitative data (numerical)- age, income, temperature.
Source of Data:
A source of data refers to the origin or point from where data is obtained or collected. Basically, it indicates
where the information comes from, whether through direct observation, surveys, experiments, or existing
records.
There are mainly two sources of data or data collection:
I. Primary sources of data (Surveys, observations, interview, questionnaire or field techniques)
II. Secondary sources of data (Published, unpublished, remote sensing-aerial photographs & satellite
imagery, census and historical document)
Topic-2.1
Primary Sources of Data:
Primary sources of data are original data collected directly by the researchers for a specific purpose. These are
firsthand data gathered through various methods like_ surveys, interviews, observations, or field techniques.
Here are some brief explanations:
• Surveys: Surveys collect information from many people by asking them the same questions. These
questions help researchers to understand people’s opinions, habits, or experiences.
Example: Asking farmers what crops they grow and what challenges they face.
• Observations: Observation means watching people, places, or events carefully and noting what
happens. In this method, researchers may not talk to people but record behaviors or situations directly.
Example: Watching how patients behave in a village clinic without asking questions.
, 3
• Interviews: An interview is a method of collecting information through a direct conversation between
the researcher and the respondent. Actually, it is used to gather personal, detailed, and meaningful data.
Example: Interviewing a single mother about her experience with government aid.
• Questionnaires: Questionnaire is a set of written questions that people fill out on their own on paper
or online. It is used to collect information from a large number of people in a short amount of time.
Example: Giving a questionnaire to students to find out how much time they spend online daily.
• Field Techniques: Field techniques are hands-on methods to collect data directly at the site. This
includes measuring distances, making maps, taking photos, or recording observations.
Example: Measuring how far villagers walk to get water.
Advantage of Primary sources of Data:
• Original and Authentic – Primary data is collected firsthand by the researcher, ensuring the
information is original and reliable.
• Purpose-Specific – The data is gathered to address a specific research objective, making it highly
relevant and focused.
• Current and Timely – Since the data is collected in real-time, it reflects the present conditions
and is up to date.
• Greater Control Over Collection Process – The researcher has full control over the method,
timing, and location of data collection, ensuring accuracy and consistency.
• Detailed and Comprehensive – Primary data collection methods, such as interviews or
observations, often provide rich and in-depth information.
Topic-2.2
Secondary Sources of Data:
Secondary data is the data that has been already collected by and readily available from other sources.
Basically, when we use statistical method with primary data from another purpose for our purpose we refer to
it as secondary data. It means our purpose primary data is another’s purpose secondary data. Secondary data
can be obtained from different sources, including_ published forms, directories, remote sensing-aerial
photographs & satellite imagery, census, and historical document.
Here are some brief explanations:
1. Published Documents: Public documents include government reports, academic books, journal articles,
magazines, and newspapers. They provide valuable information collected and analyzed by experts.
Example: A government environmental report detailing pollution levels over several years.
2. Directories: Directories are organized lists or databases that provide details about people, organizations,
businesses, or places.
Example: A business directory listing registered companies in a city.
, 4
3. Remote Sensing (Aerial Photographs and Satellite Imagery): These are images captured by aircraft or
satellites used to study geographical and environmental features. They help in monitoring land use,
vegetation cover, urban growth, and natural disasters over time.
Example: Satellite images tracking deforestation in a forest region over a decade.
4. Census: Data Census is a systematic governmental process conducted every 5 or 10 years to collect
detailed information about a country’s population, including age, gender, occupation, education, and
housing. Example: National census data used to study urbanization trends in a country.
5. Historical Documents: Historical Documents consist of archival materials such as old maps, letters,
newspapers, government records, and photographs that provide insights into historical events.
Example: Historical maps showing the expansion of a city over the last 100 years.
Advantages of Secondary Sources of Data:
• Cost and Time Efficient: Since the data is already collected and processed, it saves significant time
and financial resources.
• Large-scale and Long-term Data: Secondary sources often cover wide geographic areas and long
periods, which might be difficult for individual researchers to obtain.
• Foundation for Research: Provides background information and context for new studies, helping to
identify trends and patterns.
• Easy Access: Many secondary data sources are publicly available through libraries, government
offices, or online databases.
Topic-3
Types of Data:
In Statistics, data refers to the collection of facts, figure, or observations used for analysis. Data can be
classified into different categories based on its nature and characteristics.
Here are some brief details:
1.Quantitative Data or Numerical Data:
Quantitative data is also known as numerical data which represents the numerical value. Basically, numerical
data gives information about the quantities of a specific thing. For instance, height, weight, temperature,
quantity of a thing and so on. However, quantitative data can be categorized into two types: continuous data,
discrete data or non-continuous data.
Continuous Data: (Fraction হতে পাতে)
Topic-1
Concept and Meaning of Statistics in Geography:
Statistics in Geography is the science of collecting, analyzing, and interpreting geographical data.
Statistics in Geography refers to the application of statistical methods and tools to collect, analyze, and
interpret geographical data. Basically, it helps geographers understand patterns, relationships, and trends in
both physical and human environments.
Yeats (1974), "Statistics in geography is the science of the collection, presentation, analysis, and interpretation
of numerical data relating to the earth and its phenomena."
Gregory & Wall (1981), “Statistics in geography is the use of numerical methods to analyze patterns and
trends.”
What is Statistics?
Statistics is the practice of collecting, analyzing, interpreting and presenting numerical data.
Significances of Statistics in Geography:
Statistics plays a significant role in geography by providing tools and techniques to analyze and interpret
spatial data. Here are some key points highlighting the significance of statistics in geography:
Data Analysis: Statistics allows geographers to analyze large datasets and extract meaningful information. It
helps in summarizing, organizing, and visualizing spatial data.
Spatial Patterns: Statistics helps geographers to identify and understand spatial patterns in various
geographic phenomena. By using statistical techniques, geographers can identify hotspots, spatial trends, and
spatial dependencies.
Spatial Modeling: Statistics provides geographers with the tools to develop spatial models that help in
understanding the complex interactions between different variables and their spatial distribution.
Decision Making: Statistics help geographers and planners to make better choices based on studying
population, land use, weather, or natural resources to understand current conditions and future needs. This
supports planning for things like schools, hospitals, roads, or managing issues like floods and deforestation.
Geographic Information Systems (GIS): Statistics is an integral part of GIS. Basically, GIS combines spatial
data with statistical analysis to create maps more detailed, perform spatial queries, examine spatial patterns
and so on.
Spatial Data Visualization: Statistics plays a key role in turning complex geographic data into clear and
meaningful visual forms as maps, graphs, and charts. These visual tools make geographically spatial
information easier to understand, interpret, analyze and making decision.
In summary, statistics plays a crucial role in geography by providing tools and techniques to analyze, interpret,
and visualize spatial data. It helps geographers understand spatial patterns, develop spatial models, make
informed decisions, and communicate their findings effectively.
Geographers use statistics in numerous ways
• To summarize and explain geographic data clearly.
• To understand and describe patterns across different areas.
, 2
• To predict the chance of events at specific locations.
• To use sample data to learn about a larger population or region.
• To compare how phenomena vary from place to place.
• To check if observed patterns match expected trends.
Topic-2
Sources of Data:
Data: Unauthorized form of facts or numerical value.
Information: When a data is organized it’s called information.
• What is Data:
Data refers to raw facts, figures, or symbols that have not yet been processed to reveal meaning. It can be
numbers, text, audio or video. Simply, we can say data is an unauthorized or unprocessed facts or numerical
value.
There are two types of data we have_
• Qualitive data (descriptive)- color, gender, name-information, types of soil.
• Quantitative data (numerical)- age, income, temperature.
Source of Data:
A source of data refers to the origin or point from where data is obtained or collected. Basically, it indicates
where the information comes from, whether through direct observation, surveys, experiments, or existing
records.
There are mainly two sources of data or data collection:
I. Primary sources of data (Surveys, observations, interview, questionnaire or field techniques)
II. Secondary sources of data (Published, unpublished, remote sensing-aerial photographs & satellite
imagery, census and historical document)
Topic-2.1
Primary Sources of Data:
Primary sources of data are original data collected directly by the researchers for a specific purpose. These are
firsthand data gathered through various methods like_ surveys, interviews, observations, or field techniques.
Here are some brief explanations:
• Surveys: Surveys collect information from many people by asking them the same questions. These
questions help researchers to understand people’s opinions, habits, or experiences.
Example: Asking farmers what crops they grow and what challenges they face.
• Observations: Observation means watching people, places, or events carefully and noting what
happens. In this method, researchers may not talk to people but record behaviors or situations directly.
Example: Watching how patients behave in a village clinic without asking questions.
, 3
• Interviews: An interview is a method of collecting information through a direct conversation between
the researcher and the respondent. Actually, it is used to gather personal, detailed, and meaningful data.
Example: Interviewing a single mother about her experience with government aid.
• Questionnaires: Questionnaire is a set of written questions that people fill out on their own on paper
or online. It is used to collect information from a large number of people in a short amount of time.
Example: Giving a questionnaire to students to find out how much time they spend online daily.
• Field Techniques: Field techniques are hands-on methods to collect data directly at the site. This
includes measuring distances, making maps, taking photos, or recording observations.
Example: Measuring how far villagers walk to get water.
Advantage of Primary sources of Data:
• Original and Authentic – Primary data is collected firsthand by the researcher, ensuring the
information is original and reliable.
• Purpose-Specific – The data is gathered to address a specific research objective, making it highly
relevant and focused.
• Current and Timely – Since the data is collected in real-time, it reflects the present conditions
and is up to date.
• Greater Control Over Collection Process – The researcher has full control over the method,
timing, and location of data collection, ensuring accuracy and consistency.
• Detailed and Comprehensive – Primary data collection methods, such as interviews or
observations, often provide rich and in-depth information.
Topic-2.2
Secondary Sources of Data:
Secondary data is the data that has been already collected by and readily available from other sources.
Basically, when we use statistical method with primary data from another purpose for our purpose we refer to
it as secondary data. It means our purpose primary data is another’s purpose secondary data. Secondary data
can be obtained from different sources, including_ published forms, directories, remote sensing-aerial
photographs & satellite imagery, census, and historical document.
Here are some brief explanations:
1. Published Documents: Public documents include government reports, academic books, journal articles,
magazines, and newspapers. They provide valuable information collected and analyzed by experts.
Example: A government environmental report detailing pollution levels over several years.
2. Directories: Directories are organized lists or databases that provide details about people, organizations,
businesses, or places.
Example: A business directory listing registered companies in a city.
, 4
3. Remote Sensing (Aerial Photographs and Satellite Imagery): These are images captured by aircraft or
satellites used to study geographical and environmental features. They help in monitoring land use,
vegetation cover, urban growth, and natural disasters over time.
Example: Satellite images tracking deforestation in a forest region over a decade.
4. Census: Data Census is a systematic governmental process conducted every 5 or 10 years to collect
detailed information about a country’s population, including age, gender, occupation, education, and
housing. Example: National census data used to study urbanization trends in a country.
5. Historical Documents: Historical Documents consist of archival materials such as old maps, letters,
newspapers, government records, and photographs that provide insights into historical events.
Example: Historical maps showing the expansion of a city over the last 100 years.
Advantages of Secondary Sources of Data:
• Cost and Time Efficient: Since the data is already collected and processed, it saves significant time
and financial resources.
• Large-scale and Long-term Data: Secondary sources often cover wide geographic areas and long
periods, which might be difficult for individual researchers to obtain.
• Foundation for Research: Provides background information and context for new studies, helping to
identify trends and patterns.
• Easy Access: Many secondary data sources are publicly available through libraries, government
offices, or online databases.
Topic-3
Types of Data:
In Statistics, data refers to the collection of facts, figure, or observations used for analysis. Data can be
classified into different categories based on its nature and characteristics.
Here are some brief details:
1.Quantitative Data or Numerical Data:
Quantitative data is also known as numerical data which represents the numerical value. Basically, numerical
data gives information about the quantities of a specific thing. For instance, height, weight, temperature,
quantity of a thing and so on. However, quantitative data can be categorized into two types: continuous data,
discrete data or non-continuous data.
Continuous Data: (Fraction হতে পাতে)
