This study, developed in R software, proposes a regional model of populated anthromes for applications in environmental management and socioecological analysis. Based on global anthromes mapping guidelines, census data were explored, mined, merged, and plotted to identify population patterns. Static and interactive maps were produced, followed by validation and uncertainty assessments to ensure quality. Results indicate that the regional model closely reflects local population realities compared to global mapping, with sufficient data to characterize demographic distribution. Statistical analyses confirmed the robustness of the approach, demonstrating how Metrology, Human Ecology, and Geocomputation integrate to structure socioecological models and validate geospatial information. The framework can be replicated in other territorial contexts for anthromes-based management.

Tugas Pengantar Analisis Multivariat Mata Kuliah Analisis Multivariat 24031554199 / 2024B

first attempt

Analisis ini bertujuan untuk memahami hubungan antar variabel pada dataset Concrete Compressive Strength menggunakan analisis multivariat. Beberapa visualisasi digunakan, seperti correlation matrix, scree plot, cumulative variance plot, dan PCA biplot untuk melihat keterkaitan variabel, kontribusi masing-masing komponen utama, serta struktur data secara keseluruhan.

soil types