Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural dynamics where spatial components play a key role. The critical algorithms used in GIS, however, are notoriously difficult to both teach and understand, in part due to the lack of a coherent representation. GIS Algorithms attempts to address this problem by combining rigorous formal language with example case studies and student exercises. Using Python code throughout, Xiao breaks the subject down into three fundamental areas: • Geometric Algorithms • Spatial Indexing • Spatial Analysis and Modelling With its comprehensive coverage of the many algorithms involved, GIS Algorithms is a key new textbook in this complex and critical area of geography.
Chapter 9: Spatial Pattern and Analysis
Spatial Pattern and Analysis
Grown-ups love figures. When you tell them that you have made a new friend, they never ask you any questions about essential matters. They never say to you, “What does his voice sound like? What games does he love best? Does he collect butterflies?’’ Instead, they demand: “How old is he? How many brothers has he? How much does he weigh? How much money does his father make?’’ Only from these figures do they think they have learned anything about him.
If you were to say to the grown-ups: “I saw a beautiful house made of rosy brick, with geraniums in the windows and doves on the roof,’’ they would not be able to get an idea of ...