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Chapter 5 Field Surveys
While you have studied geography concepts at global or national levels (macro level), understanding these phenomena at a local level requires gathering specific information from that area. This is done through primary surveys, also known as field surveys.
Field surveys are a fundamental method of geographic inquiry, involving direct observation, sketching, measurement, interviews, and other techniques to understand the Earth's surface and human interactions with it at a specific location.
Why Is Field Survey Required?
Geography is inherently a field-based science, meaning that direct investigation in the actual geographical setting is crucial. Field surveys are necessary to complement broader geographical studies by providing detailed, local-level information.
Purposes of conducting field surveys:
- To enhance understanding of spatial patterns, associations, and relationships of phenomena at a local scale.
- To collect primary data that is not available from existing secondary sources.
- To gather specific information needed to investigate a particular geographical problem in depth based on predefined objectives.
- To enable the investigator to fully comprehend a situation or process in its actual context and location.
Direct observation is a key method used during field surveys to gather information and draw initial inferences about the landscape and phenomena.
Field Survey Procedure
Conducting a field survey follows a structured, multi-stage procedure with interrelated steps:
Defining The Problem
The first step involves clearly and precisely defining the geographical problem or topic to be studied. This definition should be specific and indicate the exact nature of the problem. The problem statement should also be reflected accurately in the title and any subtitles used for the survey report.
Objectives
Once the problem is defined, the specific objectives of the survey must be listed. Objectives provide a clear outline of what the survey intends to achieve. They guide the selection of appropriate data collection tools, techniques, and methods for data analysis that will be used throughout the survey process.
Scope
Similar to defining objectives, the scope of the field survey must be clearly delimited. This involves specifying:
- The exact geographical area that will be covered by the survey.
- The timeframe or period of inquiry the data will relate to.
- If applicable, the specific themes or aspects of the problem that will be studied (especially if the problem is broad).
Delimiting the scope in these dimensions ensures that the survey is manageable, aligns with the predefined objectives, and helps in understanding the limitations of the analysis, inferences, and their applicability.
Tools And Techniques
Various tools and techniques are employed during field surveys to collect the necessary information about the chosen problem. These include using existing data, direct observation, measurement, and conducting interviews.
(i) Recorded and Published Data:
Existing secondary data and maps provide foundational information about the survey area and the problem. These are collected and published by government agencies, organizations, and other bodies.
- Secondary information (like population statistics, agricultural data, economic figures) helps in understanding the background of the area and the problem.
- Maps, such as cadastral maps (showing property boundaries) and topographical maps (showing relief, drainage, settlements, infrastructure), are essential for preparing the survey framework, understanding physical and cultural features, and selecting units of observation (like households or land parcels).
Official records (e.g., electoral rolls, revenue records) can provide lists of households or landholdings for sampling purposes. Large-scale maps of the survey area help investigators orient themselves on the ground and accurately locate features observed during the survey.
(ii) Field Observation:
Investigators' ability to keenly observe the landscape is crucial for collecting information. Field observation involves noting the characteristics and spatial relationships of geographical phenomena firsthand.
- Sketching: Drawing field sketches helps capture prominent landscape features and spatial relationships visually, enhancing understanding and strengthening explanations.
- Photography: Using photographs allows capturing the visual reality of the landscape, objects, or activities relevant to the study.
If detailed maps are unavailable, investigators can prepare a sketch map or notional map of the survey area based on a reconnaissance survey. This process aids familiarity with the area by requiring careful observation and plotting of features.
All observations must be systematically recorded, as memorizing everything is impossible. Using appropriate categories and schemes for note-taking helps organize information. Brief interactions with locals or referring to existing records can clarify observations and ensure accurate recording.
(iii) Measurement:
Some field surveys, especially those requiring precise analysis, involve making on-site measurements of specific objects or events. This requires carrying relevant equipment.
- Appropriate equipment enables precise measurement of characteristics.
- Examples of equipment include measuring tapes (for distance/size), weighing machines (for samples like soil), pH meters or strips (for soil/water acidity/alkalinity), and thermometers (for temperature).
(iv) Interviewing:
Field surveys dealing with social issues heavily rely on gathering information directly from people through personal interviews. Individuals' experiences, knowledge about their environment, and daily lives are valuable data sources.
- Tools: Interviews can be structured using pre-designed questionnaires or schedules. Participatory appraisal methods, like social mapping, resource mapping, and group discussions, are also used, encouraging community involvement in sharing information and perspectives.
- Basic Information: Essential background information about the respondent (location, socio-economic status) must be noted alongside their responses. This helps in categorizing and compiling information for analysis.
- Coverage (Census or Sample): The investigator must decide whether to survey the entire population of the study area (census) or select a representative sample. A census is feasible for smaller areas or when studying diverse elements. Sampling is necessary for large areas, ensuring the sample represents different segments of the population.
- Units of Study: The primary units from which data will be collected (e.g., households, land parcels, business units) must be clearly defined.
- Sample Design: If sampling, the plan for selecting samples (size and method) must be determined based on survey objectives, population variability, and practical constraints (cost, time).
- Cautions: Interviewing human groups is sensitive and requires sincerity and caution. Investigators should be aware of cultural differences, maintain a respectful demeanor, use simple language, avoid making false promises or irritating questions, and ensure privacy during responses. Responses should be accurately recorded.
Compilation And Computation
After collecting various types of information during fieldwork, it needs to be organized for interpretation and analysis to meet the survey objectives.
- Notes, field sketches, photographs, and case study details should be organized according to the sub-themes of the study.
- Data from questionnaires and schedules should be systematically tabulated, either manually on a master sheet or digitally in spreadsheet software (like MS Excel).
Spreadsheet software facilitates data entry, organization, and computation of various indicators and descriptive statistics. Assigning unique codes to households and individuals, and organizing data by type on separate sheets helps in efficient data management.
Verification and Consistency Checks: After data entry, random verification and checks for internal consistency (cross-totals, checking against expected minimum/maximum values or related variables) are necessary to ensure data accuracy.
Computation of Indices: Calculating indices and ratios from the collected data is crucial for analysis. Indices can measure:
- State of well-being (based on assets, income, expenditure, nutrition).
- Determinants of chronic poverty (social class, household size, education, landholding, occupation, assets, gender equality).
- Consequences of poverty (gender discrimination, literacy, employment, assets, expenditure patterns).
Cartographic Applications
Visual representations like tables, diagrams, graphs, and maps are effective tools for showing variations and patterns in the collected data. These presentations enhance the description and analysis in the field report.
- Tables summarize data according to relevant categories (e.g., landholding size, social class).
- Diagrams and graphs (like bar diagrams, pie charts) provide visual comparisons and highlight trends.
- Maps visualize spatial patterns (e.g., distribution of resources, services, or specific social groups).
Presentations
The final field study report should systematically present all aspects of the investigation. It includes a detailed account of the procedures, methods, tools, and techniques used.
The main part of the report focuses on interpreting and analyzing the collected information, supported by tables, charts, statistical inferences, maps, and references to existing literature.
The report should conclude with a summary of the major findings and inferences drawn from the field survey.
Based on this procedure, students, in consultation with their teacher, can select a specific problem, prepare a plan, and conduct the field survey, often working as a team.
Field Survey: Case Studies
Field surveys are valuable for studying various geographical issues and problems at a local level. The choice of a specific case study topic depends on the characteristics of the area being surveyed and the issues relevant to it (e.g., droughts in low rainfall areas, floods in high rainfall areas, pollution near industrial zones).
The syllabus includes potential case study topics such as Groundwater Change, Environmental Pollution, Soil Degradation, Poverty, Droughts and Floods, Energy Issues, and Land Use Survey/Change Detection.
Instructions for the Students: Before undertaking the field survey, students should prepare a detailed blueprint in consultation with the teacher. This includes identifying the specific area, obtaining maps, clarifying objectives, and preparing a well-structured questionnaire. The teacher should emphasize ethical conduct during interviews, using simple language, avoiding sensitive questions, honesty about the survey's purpose, and accurate recording of responses.
Case Study: Field Study of Poverty: Extent, Determinants and Consequences
The Problem: Poverty is a state of deprivation related to income, assets, consumption, or nutrition, often defined by a 'poverty line'. It is linked to inequality and varies regionally but involves a universal lack of basic needs (food, clothing, shelter). Poverty can be chronic (structural) or temporary. It exists in both rural and urban areas, sometimes increasing despite economic growth. A field survey can investigate its dimensions, causes, and consequences.
Objectives:
- Identify criteria for measuring the poverty line.
- Assess levels of well-being (income, assets, expenditure, nutrition, access to services).
- Explain poverty related to historical/structural village conditions.
- Examine the implications of poverty.
Coverage:
- Spatial: Selected rural/urban settlement area (e.g., 200+ hectares, ~400 persons/~100 households).
- Temporal: Based on average conditions (for chronic poverty) or current situation (for temporary poverty).
- Thematic: Household/individual aspects (socio-demographics, assets, income, expenditure, access to services, infrastructure).
Tools and Techniques:
- Secondary Information: Literature review on poverty/region; basic statistics (census, revenue records, gram panchayat); data from block/tehsil offices. Essential for background and sample design.
- Maps: Topographical maps (1:50,000/1:25,000) for physical/cultural features; cadastral maps (1:4,000) and revenue records for land ownership/distribution.
- Observations: Visual assessment of poverty aspects (daily life, food, shelter, health, deprivations). Aided by photography, sketching, notes.
- Measurement: Quantifying specific aspects if data unavailable (food quantity, height/weight, water quality, living space).
- Personal Interview: Primary data collection at household level (head/knowledgeable member) using questionnaires/schedules. Also interview village leaders, service providers for broader context.
- Survey Design: Census (if manageable) or stratified sampling (based on land, social class, location grids/circles). Need household list and notional settlement map for stratification.
- Schedule/Questionnaire: Pre-designed forms to systematically record interview/observation/measurement data.
Compilation and Computation:
- Data Entry & Tabulation: Organize collected data (notes, visuals). Tabulate questionnaire/schedule data on master sheet or spreadsheet (Excel). Assign unique ID codes to households/persons. Compile information on separate sheets by type.
- Verification and Consistency Checks: Randomly check entries, cross-total, verify against max/min values and related variables.
- Computation of Indices: Calculate indices at household level (Well-being, Determinants of poverty, Consequences of poverty) using value parameters and ratios.
Visual Presentation:
- Use tables, diagrams (bar, pie), graphs to represent key poverty characteristics.
- Prepare tables/diagrams by landholding or social categories.
- Show well-being variations using composite indices.
- Visualize poverty line and distribution of households above/below it by class.
- Use Lorenz curve to show inequality in asset/income/expenditure distribution.
Thematic Mapping:
- Chorochromatic maps to show spatial distribution of land use (agricultural/non-agricultural) and assess resource control by social groups.
- Maps to visualize accessibility issues related to house location and service locations.
Statistical Analysis:
- Apply descriptive statistics (mean, coefficient of variation) to describe average situation and relative variation among groups.
- Use measures of association (coefficient of correlation) to explain relationships between indices (e.g., links between education and income).
Report Writing:
- Compile a detailed report covering all procedures, methods, tools used.
- Dedicate major part to interpretation and analysis of findings.
- Support text with tables, charts, statistical inferences, maps, illustrations (photos, sketches).
- Include references.
- Provide a summary of the investigation.
Answer:
The case study outline provides a comprehensive framework for investigating poverty at the micro-level through a field survey. It covers defining the problem, setting specific objectives, establishing the spatial, temporal, and thematic boundaries, detailing the diverse tools and techniques for data collection, outlining the steps for compiling and processing the collected data, suggesting methods for visual presentation and statistical analysis, and finally, structuring the final report.
Key tools include leveraging existing secondary data (census, revenue records, maps), direct field observations (aided by visuals), on-site measurements, and various interview methods (questionnaires, participatory appraisal) to gather both quantitative and qualitative information directly from households and community members.
The process emphasizes rigorous data management (entry, verification, consistency checks) and computation of relevant indices to quantify different dimensions of poverty (extent, causes, consequences). The use of cartographic techniques (tables, diagrams, graphs, thematic maps like chorochromatic maps and potentially Lorenz curve) is integrated throughout to visually represent findings and support analytical interpretations.
Ultimately, the structured procedure aims to provide a detailed and nuanced understanding of poverty within the specific study area, moving beyond macro-level statistics to capture the lived realities and underlying factors at the local scale.
Case Study: Field Study of Droughts : A Study of Belgaum District, Karnataka
The Problem: Drought is defined as a prolonged, severe moisture deficiency causing insufficient water for plants, animals, and humans, often accompanied by hot, dry winds and potentially followed by floods. It is a major cause of distress for farmers, particularly in India. Drought severity and impact depend on duration, affected area size, and socio-economic development level (poorer, agriculture/pastoral-dependent regions are hit harder). Worst effects include surface water reduction, crop failures, food loss, hunger, malnutrition, and economic difficulties, potentially leading to starvation or farmer suicides.
Objectives:
- Identify areas with recurring drought conditions.
- Gain firsthand experience of drought as a natural disaster.
- Suggest preparedness measures for affected populations.
Coverage:
- Spatial: A selected drought-prone area, ideally in or around your district that has experienced drought.
- Temporal: Study based on average conditions, referencing responses to normal rainfall years; compare agricultural production data for drought years vs. non-drought years.
- Thematic: Assess agricultural production, crop land use, rainfall variability, and vegetation status to understand magnitude, determinants, and implications of droughts.
Tools and Techniques:
- Secondary Information: Collect data on rainfall, crop production, population for drought-affected areas/years from IMD (Indian Meteorological Department - Agrimet Division), District Gazetteers, Census Handbooks, District Handbooks, Statistical Abstracts (state government).
- Maps: Use 1:50,000+ scale topographical maps to identify perennial/non-perennial water bodies, settlements, land use; cadastral maps for land use data.
- Observation: Observe signs of water shortage, crop failures, lack of fodder, impacts on people and livestock. Note information about relief measures.
- Photographs and Sketches: Capture visuals of drought conditions (parched land, affected people/livestock) to add qualitative illustration.
- Measurement (Objects): Select a village as the unit. Obtain cadastral map. Prepare outline maps. Record data on water bodies (depth), extent of perennial water, sowing/harvesting success in fields, loss of seeds, availability of drinking water, official relief measures.
- Interviewing: Use questionnaires to interview farmers and locals about rainfall, rainy days, sowing, watering, crop types, livestock/fodder status, domestic water supply, healthcare, credit, employment, anti-poverty programs. Note respondent feelings on a scale.
- Tabulation: Organize primary and secondary data into systematic tables for processing (e.g., using tally marks for counts).
Presentation of Report:
- Record findings in a detailed report.
- Cover the cause and magnitude of the drought.
- Discuss its impact on the economy and lives of the people.
Answer:
The case study outline for studying droughts provides a structured approach to investigate this natural disaster at a local level. It emphasizes using a mix of secondary data and primary field techniques tailored to assessing the impacts of moisture deficiency.
Key aspects of the procedure include collecting historical weather and agricultural data from official sources to understand the context and severity of drought years. On-site field work involves observation of visible signs of drought (parched land, water scarcity), documenting conditions through photography and sketching, and conducting measurements related to water availability and agricultural outcomes at the village or field level.
Personal interviews using questionnaires are crucial for gathering information on farmers' experiences, impacts on livelihoods (crops, livestock, employment), access to resources (water, credit), and perceptions of the drought and relief efforts. The collected data is then tabulated and used to support the final report, which details the drought's characteristics, causes (within the context of rainfall patterns), and its multifaceted impacts on the local population and economy.
The methodology highlights the importance of combining quantitative data (rainfall, production, water levels) with qualitative observations and personal accounts to provide a comprehensive geographical perspective on the drought phenomenon.