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Pre-U CIE Geography: Formula & Theorem Quick Reference Handbook | Pre-U CIE 地理:公式定理速查手册

2026-07-27 15:40 · 本文部分内容由AI辅助创作

📚 Pre-U CIE Geography: Formula & Theorem Quick Reference Handbook | Pre-U CIE 地理:公式定理速查手册

This handbook compiles the essential formulas, equations and theoretical models required for the Pre-U CIE Geography course. It is designed as a rapid revision tool to help students quickly recall quantitative methods and key theorems for data response questions and examinations.

本手册汇编了 Pre-U CIE 地理课程中必备的公式、方程与理论模型。手册旨在作为快速复习工具,帮助学生迅速回忆定量方法和关键定理,以便应对数据分析题和考试。

1. Demographic Indicators | 人口统计指标

de Birth Rate (CBR) = (Number of live births in a year ÷ Total mid-year population) × 1000

粗出生率(CBR)=(一年内活产婴儿数 ÷ 年中总人口)× 1000

Crude Death Rate (CDR) = (Number of deaths in a year ÷ Total mid-year population) × 1000

粗死亡率(CDR)=(一年内死亡人数 ÷ 年中总人口)× 1000

Natural Increase Rate (%) = [(Number of births − Number of deaths) ÷ Total population] × 100, or (CBR − CDR) ÷ 10

自然增长率(%)= [(出生人数 − 死亡人数)÷ 总人口] × 100,或(CBR − CDR)÷ 10

lity Rate: General Fertility Rate (GFR) = (Number of live births ÷ Number of women aged 15–49) × 1000

一般生育率(GFR)=(活产婴儿数 ÷ 15–49 岁女性人数)× 1000

Total Fertility Rate (TFR) is the average number of children a woman would have, calculated by summing age-specific fertility rates and multiplying by 5 if in five-year groups.

总和生育率(TFR)指一名妇女一生平均生育子女数,采用各年龄组生育率求和(若按五岁分组则乘以5)来估算。


2. Population Density and Distribution | 人口密度与分布公式

Population Density = Total population ÷ Land area (persons per km²)

人口密度 = 总人口 ÷ 土地面积(人/平方公里)

ensity uses arable land area: Physiological Density = Total population ÷ Arable land area.

算术密度采用土地总面积计算,而生理密度使用耕地面积:生理密度 = 总人口 ÷ 耕地面积。

Dependency Ratio = [(Population aged 0–14 + Population aged 65+) ÷ Population aged 15–64] × 100

抚养比 = [(0–14 岁人口 + 65 岁及以上人口)÷ 15–64 岁人口] × 100


3. Fertility and Mortality Formulas | 生育与死亡率公式

ity Rate (IMR) = (Number of deaths of infants under 1 year ÷ Number of live births) × 1000

婴儿死亡率(IMR)=(一岁以下婴儿死亡数 ÷ 活产婴儿数)× 1000

Child Mortality Rate = (Number of deaths of children aged 1–4 ÷ Total population aged 1–4) × 1000

儿童死亡率 =(1–4 岁儿童死亡数 ÷ 1–4 岁总人口)× 1000

Life Expectancy at birth is derived from life tables; the calculation involves summing person-years lived beyond age x and dividing by survivors at age x. In Pre-U, you are expected to interpret rather than compute life expectancy directly.

出生时预期寿命由生命表推导;计算过程涉及累加 x 岁后的人口生存年数并除以 x 岁存活人数。在 Pre-U 阶段,要求学生能够解读预期寿命而非直接计算。


4. Migration and Urbanization Equations | 迁移与城市化公式

Net Migration = Number of immigrants − Number of emigrants

净迁移 = 迁入人数 − 迁出人数

Net Migration Rate = [(Immigrants − Emigrants) ÷ Total population] × 1000

净迁移率 = [(迁入人数 − 迁出人数)÷ 总人口] × 1000

Urbanization Level = (Urban population ÷ Total population) × 100

城市化水平 =(城镇人口 ÷ 总人口)× 100

Urban population at start) ÷ Urban population at start] × 100, for a given time interval.

城镇人口增长率 = [(期末城镇人口 − 期初城镇人口)÷ 期初城镇人口] × 100,适用于给定时间段。


5. River Discharge and Gradient | 河流流量与坡度

al area (A) × Mean velocity (V), where A is measured in m² and V in m/s, giving Q in m³/s.

流量(Q)= 横截面积(A)× 平均流速(V),其中 A 单位为平方米,V 单位为米/秒,Q 单位为立方米/秒。

orizontal distance, often expressed as a ratio (e.g., 1:50) or as a percentage: Gradient (%) = (Rise ÷ Run) × 100.

河床或山坡的坡度 = 垂直高差 ÷ 水平距离,常以比值表示(如 1:50)或百分比形式:坡度(%)=(高差 ÷ 平距)× 100。

oss-sectional area (A) ÷ Wetted perimeter (P), important for assessing channel efficiency.

水力半径(R)= 横截面积(A)÷ 湿周(P),对于评估河道效率很重要。


6. Spearman's Rank Correlation | 斯皮尔曼等级相关系数

rₛ = 1 − [6 Σ d² ÷ (n(n² − 1))]

f pairs. The value ranges from −1 (perfect negative correlation) to +1 (perfect positive).

其中 d = 各对数据的秩次差,n = 数据对的个数。值域从 −1(完全负相关)到 +1(完全正相关)。

This test is used frequently in geography to assess the relationship between two variables such as distance from a river and sediment size, or GDP and life expectancy.

该检验在地理中常用于评估两个变量之间的关系,例如距河距离与沉积物粒径的关系,或 GDP 与预期寿命的关系。

Steps: rank each set of data separately, compute differences, square them, sum, and apply the formula. A significance table is used to test whether the correlation is statistically significant.

步骤:分别对两组数据排序赋秩,计算秩次差,平方后求和,再代入公式。通过与显著性临界值表比较,判断相关性是否统计显著。


7. The Gravity Model | 引力模型

Iᵢⱼ = k × (Pᵢ × Pⱼ) ÷ D²

where Iᵢⱼ is the interaction between places i and j, Pᵢ and Pⱼ are population sizes, D is the distance between them, and k is a constant. This model is used to predict flows of people, goods, or information.

其中 Iᵢⱼ 是 i 地和 j 地之间的相互作用,Pᵢ 和 Pⱼ 是人口规模,D 是两地距离,k 为常数。该模型用于预测人流、物流或信息流。

In geographical analysis, the exponent of distance may vary; a squared distance (power 2) is common, but it can be adjusted to reflect the friction of distance for different phenomena.

在地理分析中,距离的指数可能变化;平方距离(幂次 2)常见,但可根据不同现象的“距离摩擦”进行调整。

The gravity model is foundational for understanding spatial interaction and is linked to retail location, migration patterns, and trade flows.

引力模型是理解空间相互作用的基础,与零售业选址、迁移模式和贸易流相关联。


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8. Rank-Size Rule | 位序–规模法则

Pₙ = P₁ ÷ n

where Pₙ is the population of the nth largest city, P₁ is the population of the largest city, and n is the rank. This rule describes a regular pattern in many developed-country urban systems.

其中 Pₙ 是第 n 大城市的人口,P₁ 是最大城市的人口,n 为位序。该法则描述了在许多发达国家的城镇体系中存在的规律模式。

When plotted on logarithmic scales, a country that follows the rank-size rule will show a straight-line relationship between rank and population size.

在双对数坐标上,遵循位序–规模法则的国家,其城市位序与人口规模会呈现直线关系。

A primate city occurs where the largest city is more than twice the size of the second city, indicating deviation from the rule; thus the rank-size rule helps identify primacy.

当最大城市的人口超过第二大城市的两倍时,即为“首位城市”,表明偏离此法则;因此位序–规模法则有助于识别首位分布。


9. Central Place Theory | 中心地理论

Christaller's central place theory proposes a hierarchy of settlements with hexagonal market areas. The theory uses the concepts of range (maximum distance consumers will travel) and threshold (minimum population needed to support a service).

克里斯塔勒的中心地理论提出了六边形市场区的聚落等级体系。该理论使用“商品服务范围”(消费者愿意出行的最远距离)和“门槛人口”(维持服务所需的最低人口)两个概念。

rketing principle, k=4 follows a transport principle, and k=7 an administrative principle.

K 值(如 k=3, k=4, k=7)决定了中心地的布局:k=3 网络遵循市场原则,k=4 遵循交通原则,k=7 遵循行政原则。

Formulas for calculating the number of next lower-order centres served by a higher-order centre depend on the chosen k-value, but the emphasis in Pre-U is on understanding spatial patterns rather than extensive computation.

高等级中心所服务的低等级中心数量的计算公式取决于所选的 k 值,但 Pre-U 的重点在于理解空间格局,而非大量计算。


10. Development Indicators | 发展指标

Human Development Index (HDI) combines three dimensions: health (life expectancy at birth), education (mean years of schooling and expected years), and standard of living (GNI per capita).

人类发展指数(HDI)综合了三个维度:健康(出生时预期寿命)、教育(平均受教育年限和预期受教育年限)和生活水平(人均国民总收入)。

imum value) ÷ (maximum value − minimum value). The HDI is the geometric mean of the three dimension indices.

每个维度指标通过公式标准化为 0~1 之间的值:维度指数 =(实际值 − 最小值)÷(最大值 − 最小值)。HDI 是三个维度指数的几何平均数。

Gini coefficient summarises income inequality; while not formula-based in Pre-U exams, it is derived from the Lorenz curve. It ranges from 0 (perfect equality) to 1 (perfect inequality).

基尼系数描述收入不平等程度;尽管 Pre-U 考试不要求公式计算,它通过洛伦兹曲线求得。系数范围从 0(完全平等)到 1(完全不平等)。


11. Climate and Weather Formulas | 气候与天气公式

Temperature Range = Mean temperature of warmest month − Mean temperature of coldest month.

年温差 = 最暖月均温 − 最冷月均温。

Total Annual Precipitation = Sum of monthly precipitation for all 12 months.

年降水总量 = 12 个月各月降水量之和。

Potential Evapotranspiration (PET) often estimated using Thornthwaite' udents are more likely to interpret a water-balance diagram: P − PET = surplus or deficit.

潜在蒸散量(PET)常用 Thornthwaite 公式估算,但 Pre-U 学生更可能解读水量平衡图:降水量 − PET = 盈余或亏缺。

Humidity calculations: Relative Humidity (%) = (Actual vapour pressure ÷ Saturation vapour pressure) × 100.

湿度计算:相对湿度(%)=(实际水汽压 ÷ 饱和水汽压)× 100。


12. Distance Decay Function | 距离衰减函数

A simple form: I = k × P₁ × P₂ × e⁻ᵇᵈ or inversely proportional to some power of distance.

距离衰减的一般模型表明,相互作用随距离增加而减弱。简化形式:I = k × P₁ × P₂ × e⁻ᵇᵈ,或与距离的某次幂成反比。

In spatial geography, this concept underpins theories such as the gravity model and helps explain the friction of distance affecting migration, shopping trips, and information flow.

在空间地理中,此概念是引力模型等理论的基础,有助于解释影响迁移、购物出行和信息流的距离摩擦。


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