Geographical Techniques / Cartography and Geo-Spatial Techniques

Sources of Geographic Information: Spatial & Non-Spatial

  • Sources of geographic information: spatial (maps, RS images, GPS, field surveys) & non-spatial (statistics, reports, interviews)
  • Primary vs secondary sources of data; classification of spatial data

Types of Maps: Topographic, Thematic, Cadastral

  • Types of maps: topographic maps, thematic maps, cadastral maps, navigational charts

Scientific Basis of Cartography: Generalization & Symbolization

  • Scientific basis of cartography: map projections, generalization, symbolization, scale

Geographical Coordinates, Graticules & Grid

  • Geographical coordinates: latitude & longitude; geographic grid; parallels & meridians
  • Graticules: construction & representation on maps

Types of Scales: RF, Graphic, Statement & Diagonal

  • Types of scales: RF (Representative Fraction), graphic/bar scale, statement scale; diagonal scale construction

Choropleth Maps: Construction & Class Intervals

  • Choropleth maps: construction, class intervals (equal interval, quantile, natural breaks, SD), design

Isarithmic (Isopleth/Isoline) Maps

  • Isarithmic (isopleth/isoline) maps: types (isohyet, isotherm, isobar, isohypse), construction & interpolation

Dasymetric Maps: Concept & Ancillary Data

  • Dasymetric maps: concept; ancillary data use; comparison with choropleth

Chorochromatic (Qualitative) Maps

  • Chorochromatic (qualitative) maps: nominal data representation; land use maps

Flow Maps: Types & Construction

  • Flow maps: linear (desire lines), graduated (proportional), network flow; direction representation

Data Representation: Pie, Bar & Line Diagrams

  • Data representation: pie diagrams — construction, uses, limitations
  • Bar diagrams: simple, multiple, compound, deviation bars; uses & limitations
  • Line graphs: arithmetic, semi-log, log-log; interpretation

Map Projections: Concept & Properties

  • Map projections: concept of projection; properties (conformality, equivalence, equidistance, azimuthality)

Cylindrical Projections: Mercator, Transverse Mercator

  • Cylindrical projections: Mercator (conformal), cylindrical equal-area, transverse Mercator

Conical Projections: Albers & Lambert Conformal

  • Conical projections: simple conic, Albers, Lambert conformal conic (one & two standard parallels)

Zenithal/Azimuthal Projections

  • Zenithal/Azimuthal projections: gnomonic, stereographic, orthographic, Lambert azimuthal equal-area
  • Transformation of area, distance & direction in projections; choice of projection for different purposes

Geological Map Interpretation: Dip, Strike & Stratigraphy

  • Geological map interpretation: bedding planes, strike, dip — measurement & representation
  • Geological structures: folds (anticline, syncline) & faults on maps; stratigraphy; rock sequence reading

Slope Determination: Wentworth’s & Smith’s Methods

  • Slope determination: Wentworth’s method; Smith’s method; slope categories

GIS Database: Raster & Vector Formats

  • GIS database: raster format — grid cells, resolution, types (DEM, satellite imagery)
  • GIS database: vector format — points, lines, polygons; topology

Attribute Data Management & Relational Database

  • Attribute data: attribute tables; relational database; one-to-one, one-to-many relationships

Functions of GIS: Conversion, Editing & Analysis

  • Functions of GIS: data conversion (format transformation, rasterization/vectorization)
  • GIS editing: on-screen digitizing, attribute editing, error correction
  • GIS analysis: spatial analysis, network analysis, surface analysis, geostatistics

DEM: Types, Creation & Applications

  • DEM: concept, types (DSM, DTM, nDSM), creation from contours/lidar/photogrammetry, applications

Georeferencing: Coordinate Systems, Datum & Projections

  • Georeferencing: coordinate systems (geographic, projected); datum (WGS84, Everest); map projections

GIS Applications: Thematic Cartography & SDSS

  • GIS applications: thematic cartography; spatial decision support systems (SDSS); urban planning; resource management

Remote Sensing: Electromagnetic Spectrum & Atmospheric Windows

  • Remote sensing — Electromagnetic spectrum: wavelength regions, atmospheric windows

Sensors: Passive vs Active; Platforms & Orbital Parameters

  • Sensors: passive (optical, thermal) vs active (RADAR, LiDAR); pushbroom vs whiskbroom
  • Platforms: ground, airborne, satellite (polar orbit, geostationary); orbital parameters

Resolution Types: Spatial, Spectral, Temporal, Radiometric

  • Resolution types: spatial, spectral, temporal, radiometric — concepts & tradeoffs

Elements of Air Photo & Satellite Image Interpretation

  • Elements of air photo interpretation: tone, texture, shape, size, shadow, pattern, association, site
  • Satellite image interpretation: band combinations (true colour, false colour composite), indices

Photogrammetry & Types of Aerial Photographs

  • Photogrammetry: concept, stereo viewing, orthorectification, aerial triangulation
  • Types of aerial photographs: vertical, oblique (high, low); scale; overlap (forward, side lap)

Digital Image Processing: Correction & Enhancement

  • Digital image processing: preprocessing (radiometric, geometric correction); enhancement techniques

Supervised Classification: Training Samples & Classifiers

  • Supervised classification: training samples, classifiers (MLC, SVM, RF), class separability

Unsupervised Classification: K-means & ISODATA

  • Unsupervised classification: K-means, ISODATA, cluster analysis; labelling clusters

LULC Classification & Accuracy Assessment

  • LULC classification: legend design (Anderson’s system), accuracy assessment (confusion matrix, kappa)

NDVI: Formula, Range & Applications

  • NDVI: formula, range, applications in vegetation monitoring, crop health, drought detection

Developments in RS: Hyperspectral, LiDAR, SAR, GEE

  • Developments in RS: hyperspectral sensing, LiDAR, SAR, Google Earth Engine, cloud computing

Big Data Sharing: Open Data Portals in RS

  • Big data sharing: open data portals (USGS EarthExplorer, Copernicus, ISRO Bhuvan, NASA EARTHDATA)
  • Applications of RS in NRM: forest cover monitoring, wetland mapping, snow cover, groundwater recharge zones

GPS Components: Space, Ground & Receiver Segments

  • GPS components: space segment (24+ satellites), ground control segment (master control station), user receiver segment

GPS Working Principle, DGPS & GNSS (NavIC)

  • GPS working principle: trilateration; accuracy; DGPS; GNSS (IRNSS/NavIC, Galileo, GLONASS)

GPS Applications in Geography

  • GPS applications: navigation, surveying, geo-tagging, precision agriculture, disaster tracking

Central Tendency: Mean, Median & Mode

  • Central tendency: arithmetic mean, median, mode — calculation, uses, limitations

Measures of Dispersion: SD, CV & Variance

  • Measures of dispersion: range, mean deviation, standard deviation, variance, coefficient of variation

Measures of Inequality: Gini, Lorenz & Hoover Index

  • Measures of inequality: Gini coefficient, Lorenz curve, Hoover index

Sampling: Types, Design & Errors

  • Sampling: probability sampling (simple random, systematic, stratified, cluster) & non-probability (purposive, snowball, convenience)
  • Sample size determination; sampling error vs non-sampling error

Hypothesis Testing: Null, Alternative & p-value

  • Hypothesis testing: null hypothesis, alternative hypothesis, Type I & II errors, p-value, confidence interval

Chi-Square Test: Goodness of Fit & Independence

  • Chi-square test: goodness of fit & test of independence; conditions; interpretation

t-test: One Sample, Independent & Paired

  • t-test: one sample, independent samples, paired; assumptions; interpretation

ANOVA: One-Way, Two-Way & Post-Hoc Tests

  • ANOVA: one-way, two-way; F-statistic; post-hoc tests (Tukey, Bonferroni)

Time Series Analysis: Trend, Moving Averages & Trend Fitting

  • Time series analysis: trend, seasonality, cyclical & irregular components; moving averages; trend fitting

Correlation: Pearson’s r & Spearman’s Rank

  • Correlation: Pearson’s r; Spearman’s rank; assumptions; interpretation; scatter plots

Regression: Linear, Logistic & Spatial

  • Regression: simple linear regression; slope, intercept, R²; assumptions; residual analysis
  • Logistic regression: binary dependent variable; odds ratio; applications in geography

Composite Index: Normalization, Weighting & Computation

  • Measurement of indices: composite index construction; normalization; weighting
  • Making indicators scale-free: min-max normalization, z-score standardization
  • Computation of composite index: Human Development Index method; UNDP approach

Principal Component Analysis (PCA)

  • Principal Component Analysis (PCA): concept; variance explained; factor loading; scree plot; applications in regionalization

Cluster Analysis: Hierarchical & K-means

  • Cluster analysis: hierarchical (dendrogram, Ward’s method) & non-hierarchical (K-means); applications

Morphometric Analysis: Stream Ordering, Bifurcation Ratio & Drainage Density

  • Morphometric analysis: stream ordering (Strahler, Horton), bifurcation ratio, drainage density, drainage frequency, basin circularity ratio, elongation ratio, form factor — formulas, calculation & interpretation

Practical: Scale, Projections, Choropleth, Geoprocessing, Classification

  • Practical: Scale construction (RF, graphic, diagonal); map projections (Cylindrical, Conical, Zenithal) — construction; choropleth & isopleth maps; slope analysis; water body mapping from imagery; digitization; vectorization & SQL queries; geoprocessing operations (Buffer, Union, Intersection, Merge, Dissolve, Clip); image subsetting & mosaicking; image enhancement; supervised & unsupervised classification; accuracy assessment

Supplementary Topics: Geographical Techniques & Cartography

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