Sources of data - geographic sampling methods: point, line and area sampling - correlation and regression analysis - centrographic measures: mean and median centres, standard distance - One Line Questions
1.
Which of the following scenarios would likely result in a high standard distance? —
The locations of major international airports across a continent.
2.
Which of the following is an example of a 'line' geographic feature? —
A river
3.
A larger standard distance value indicates: —
A more dispersed distribution of points.
4.
In the context of geographic data, what is a 'census tract' an example of? —
An area feature
5.
A correlation coefficient of 0 suggests: —
No linear relationship.
6.
Which sampling method is most appropriate for studying linear features like rivers or roads? —
Line sampling
7.
In geographic sampling, a 'transect' is most closely related to which sampling method? —
Line sampling
8.
In spatial regression, if the independent variables are not spatially independent, what problem might arise? —
Autocorrelation
9.
In correlation and regression, what is the primary difference in their interpretation? —
Regression measures causation, while correlation measures association.
10.
When analyzing the relationship between rainfall and crop yield in a region, what would be the independent variable in a regression analysis? —
Rainfall
11.
Stratified sampling in geography involves: —
Dividing the population into homogeneous subgroups and then randomly sampling within each subgroup.
12.
Which of the following is NOT a common primary source of geographic data? —
Published academic journals
13.
The 'mean centre' of a distribution of geographic points is calculated by: —
Finding the point that minimizes the sum of squared distances to all other points.
14.
Which of the following is a form of secondary data in geography? —
Temperature readings from a weather station network.
15.
What does a negative correlation coefficient (e.g., -0.7) signify between air pollution levels and respiratory health in a city? —
Higher air pollution is associated with poorer respiratory health.
16.
If a regression analysis shows a statistically significant relationship between population density and crime rates, it implies: —
Population density and crime rates tend to vary together in a predictable way.
17.
What is a key limitation of using only point sampling for representing geographic phenomena like soil types across a region? —
It may miss important spatial variations between sample points.
18.
What is the main advantage of using 'stratified sampling' when studying variations in agricultural yields across a diverse landscape? —
It guarantees that specific land types or soil conditions (strata) are adequately represented.
19.
What is the main advantage of using 'convenience sampling' in initial geographic surveys? —
It is quick and easy to implement.
20.
What is a key advantage of systematic sampling in geographic research? —
It ensures that samples are spread evenly across the study area.
21.
What is a potential issue with using 'convenience sampling' when studying voting patterns across a city? —
It might overrepresent certain demographic groups or areas.
22.
What is the main characteristic of raster data in geographic data sources? —
It represents the Earth's surface as a grid of cells or pixels.
23.
Which centrographic measure quantifies the dispersion or spread of a distribution of geographic points around its mean centre? —
Standard distance
24.
Which centrographic measure is most robust to extreme outliers in a dataset of geographic locations? —
Median centre
25.
What is the fundamental difference between mean centre and median centre in terms of calculation? —
Mean centre uses squared distances, median centre uses absolute distances.
26.
If a study finds a strong positive correlation between the number of parks in a neighbourhood and the average lifespan of its residents, what can be inferred? —
Neighbourhoods with more parks tend to have residents with longer lifespans.
27.
A correlation coefficient of +1 indicates: —
A perfect positive linear relationship.
28.
What is a 'geographic information system' (GIS) primarily used for? —
Capturing, storing, analyzing, managing, and presenting spatial or geographic data.
29.
When a researcher divides a study region into smaller, contiguous zones and then randomly selects some of these zones for data collection, what type of sampling is being used? —
Area sampling
30.
Which type of data source is primarily used for geographic information systems (GIS) to represent specific locations with unique coordinates? —
Vector data
31.
Which of the following is a disadvantage of using a very large sample size in geographic data collection? —
Higher costs and time investment.
32.
In geographic sampling, what does 'point sampling' involve? —
Selecting random points across a continuous surface.
33.
Which sampling method is most suitable for studying the distribution of a rare species across a large, heterogeneous region? —
34.
Which sampling method is most appropriate for studying the characteristics of different soil horizons within a specific field? —
Stratified sampling based on soil horizon layers.
35.
When studying the spatial diffusion of a disease, which sampling method might be most effective if initial cases are clustered? —
Cluster sampling, focusing on identified clusters.
36.
Which statistical measure is used to describe the average location of a set of geographic points? —
Mean centre
37.
What does the 'median centre' (or geometric median) represent in a geographic context? —
The location that minimizes the sum of distances to all other points.
38.
If the mean centre and median centre of a distribution of businesses are significantly different, what does this suggest about the distribution? —
The distribution is likely skewed by a few businesses located far from the main cluster.
39.
What does correlation analysis measure in geography? —
The degree to which two geographic variables change together.
40.
In regression analysis, what is 'homoscedasticity'? —
The errors (residuals) have constant variance across all levels of the independent variable.
41.
What does the 'R-squared' value in regression analysis represent? —
The proportion of the variance in the dependent variable that is predictable from the independent variable(s).
42.
What does a centrographic measure primarily describe about a distribution of geographic points? —
The central tendency and dispersion of the distribution.
43.
In regression analysis, what is the dependent variable? —
The variable that is predicted or explained by other variables.
44.
What does 'geographic sampling' aim to achieve? —
To select a subset of geographic units that accurately represents the entire population or area of interest.
45.
What is the primary purpose of using sampling methods in geographic research? —
To reduce the amount of data collected while maintaining statistical representativeness.
46.
What is the primary purpose of regression analysis in geographic studies? —
To model and predict the relationship between one dependent variable and one or more independent variables.
47.
What is the primary goal of calculating 'standard distance' for a set of crime incidents in a city? —
To understand the spatial extent or spread of the crime incidents.
48.
What is the primary goal of calculating the mean centre of population for a country? —
To find the average geographic location of the population.
49.
Which type of data is most commonly associated with remote sensing, such as satellite imagery? —
Raster data
50.
When is 'quota sampling' a useful technique in geographic research? —
When a truly random sample is impossible or impractical, and researchers want to ensure representation of certain subgroups.