Thematic maps

The thematic maps that follow provide the opportunity to visualise selected and indicative variables from the data of the 1832/33 survey using different cartographic methodologies. Each method has its own advantages and disadvantages (see How the maps were made) and none of them constitutes an absolutely accurate representation of the data in space. These visualisations lead to different conclusions in each case, highlighting issues which are neither obvious nor self-explanatory.

Total number of households

1833, Total number of households, Proportional symbols
1832/33 Ottoman Property survey Total number of households Proportional symbols Symbol size is relative to the magnitude of each feature attribute. count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total number of households Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total number of households Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total number of households Aggregated in major drainage basins count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Thiessen polygons
1832/33 Ottoman Property survey Total number of households Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total number of households Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total number of households Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total number of households Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total number of households, Kernel density
1832/33 Ottoman Property survey Total number of households Kernel density Shades of red color indicate high density of the mapped variable count Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of all properties

1833, Total value of all properties, Proportional symbols
1832/33 Ottoman Property survey Total value of all properties Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of all properties Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of all properties Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of all properties Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Thiessen polygons
1832/33 Ottoman Property survey Total value of all properties Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of all properties Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of all properties Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of all properties Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of all properties, Kernel density
1832/33 Ottoman Property survey Total value of all properties Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of olives

1833, Total value of olives, Proportional symbols
1832/33 Ottoman Property survey Total value of Olives Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of Olives Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of Olives Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of Olives Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Thiessen polygons
1832/33 Ottoman Property survey Total value of Olives Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of Olives Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of Olives Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of Olives Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of olives, Kernel density
1832/33 Ottoman Property survey Total value of Olives Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of carobs

1833, Total value of carobs, Proportional symbols
1832/33 Ottoman Property survey Total value of Carobs Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of Carobs Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of Carobs Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of Carobs Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Thiessen polygons
1832/33 Ottoman Property survey Total value of Carobs Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of Carobs Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of Carobs Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of Carobs Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of carobs, Kernel density
1832/33 Ottoman Property survey Total value of Carobs Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of vineyards

1833, Total value of vineyards, Proportional symbols
1832/33 Ottoman Property survey Total value of vineyards Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of vineyards Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of vineyards Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of vineyards Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Thiessen polygons
1832/33 Ottoman Property survey Total value of vineyards Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of vineyards Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of vineyards Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of vineyards Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of vineyards, Kernel density
1832/33 Ottoman Property survey Total value of vineyards Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of mullberries

1833, Total value of mullberries, Proportional symbols
1832/33 Ottoman Property survey Total value of Mullberries Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of Mullberries Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of Mullberries Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of Mullberries Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Thiessen polygons
1832/33 Ottoman Property survey Total value of Mullberries Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of Mullberries Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of Mullberries Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of Mullberries Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of mullberries, Kernel density
1832/33 Ottoman Property survey Total value of Mullberries Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of watermills

1833, Total value of watermills, Proportional symbols
1832/33 Ottoman Property survey Total value of Watermills Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of Watermills Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of Watermills Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of Watermills Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Thiessen polygons
1832/33 Ottoman Property survey Total value of Watermills Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of Watermills Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of Watermills Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of Watermills Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of watermills, Kernel density
1832/33 Ottoman Property survey Total value of Watermills Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total area of cotton fields

1833, Total area of cotton fields, Proportional symbols
1832/33 Ottoman Property survey Total area of cotton fields Proportional symbols Symbol size is relative to the magnitude of each feature attribute. dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total area of cotton fields Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total area of cotton fields Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total area of cotton fields Aggregated in major drainage basins dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Thiessen polygons
1832/33 Ottoman Property survey Total area of cotton fields Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total area of cotton fields Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total area of cotton fields Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total area of cotton fields Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total area of cotton fields, Kernel density
1832/33 Ottoman Property survey Total area of cotton fields Kernel density Shades of red color indicate high density of the mapped variable dönüm - The dönüm is computed at different sizes by the inhabitants in different parts of the island. - The dönüm is not comparable between 1832/33 and 1931. Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of cotton fields

1833, Total value of cotton fields, Proportional symbols
1832/33 Ottoman Property survey Total value of cotton fields Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of cotton fields Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of cotton fields Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of cotton fields Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Thiessen polygons
1832/33 Ottoman Property survey Total value of cotton fields Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of cotton fields Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of cotton fields Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of cotton fields Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of cotton fields, Kernel density
1832/33 Ottoman Property survey Total value of cotton fields Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of grain fields

1833, Total value of grain fields, Proportional symbols
1832/33 Ottoman Property survey Total value of grain fields Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of grain fields Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of grain fields Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of grain fields Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Thiessen polygons
1832/33 Ottoman Property survey Total value of grain fields Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of grain fields Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of grain fields Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of grain fields Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of grain fields, Kernel density
1832/33 Ottoman Property survey Total value of grain fields Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of horses

1833, Total value of horses, Proportional symbols
1832/33 Ottoman Property survey Total value of horses Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of horses Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of horses Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of horses Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Thiessen polygons
1832/33 Ottoman Property survey Total value of horses Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of horses Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of horses Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of horses Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of horses, Kernel density
1832/33 Ottoman Property survey Total value of horses Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

Total value of sheep and goat

1833, Total value of sheep and goat, Proportional symbols
1832/33 Ottoman Property survey Total value of sheep and goat Proportional symbols Symbol size is relative to the magnitude of each feature attribute. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Hot spot analysis (Getis-Ord Gi* statistic)
1832/33 Ottoman Property survey Total value of sheep and goat Hot spot analysis (Getis-Ord Gi* statistic) Hot spots indicate significant clustering of high values and cold spots indicate significant clustering of low values. kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Aggregated in various regions of the island
1832/33 Ottoman Property survey Total value of sheep and goat Aggregated in 1885 subdistricts Subdistricts 1885 (Kitchener's map) Modern districts Height zones Geographic regions kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Aggregated in major drainage basins
1832/33 Ottoman Property survey Total value of sheep and goat Aggregated in major drainage basins kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Thiessen polygons
1832/33 Ottoman Property survey Total value of sheep and goat Thiessen polygons Gray areas indicate zero values for the variable. Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Spatial autocorrelation (Moran's I statistic)
1832/33 Ottoman Property survey Total value of sheep and goat Spatial autocorrelation (Moran's I) A high-high cluster is an area with high value surrounded by areas with high values. LISA: Local Indicators οf Spatial Association kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Aggregated in 25 sq.km hexagons
1832/33 Ottoman Property survey Total value of sheep and goat Aggregated in 25 Km^2 hexagons Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Aggregated in 25 sq.km rectangles
1832/33 Ottoman Property survey Total value of sheep and goat Aggregated in 25 Km^2 rectangles Comma in the legend is used as thousands separator kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée
1833, Total value of sheep and goat, Kernel density
1832/33 Ottoman Property survey Total value of sheep and goat Kernel density Shades of red color indicate high density of the mapped variable kuruş Harokopio University Sylvia Ioannou foundation Economy, environment, and landscape in the Cypriot longue durée

How the maps were made

The maps were made in the context of geospatial analysis.

Methodology for geospatial analysis
The four main sources that the project employs contain very different kinds of data:
  • The 1572 Ottoman fiscal survey records the estimate of the three-year average of taxable production and for the vast majority of the surveyed settlements
  • The 1832/33 Ottoman property survey documents property-holding of the residents of all settlements of the island apart from the Muslims of Nicosia
  • The 1883 Kitchener's map is an extremely detailed reconstruction of the geography and landscape of Cyprus which include aspects of agricultural activity, such as vineyards, animal husbandry, such as sheepfolds, or water-management structures, such as mills or wells;
  • and the 1931 British agricultural census records arable land, gardens, vineyards, and overlying objects (buildings, trees).

Different though the data may be, despite the temporal gap between the sixteenth and the nineteenth century, and the extraordinary nature of all these snapshots of the Cypriot economy and landscape, we treat the data from these sources as proxies that allow us to examine large-scale trends and patterns as indicators.

In what follows, we present some of the results of the geospatial analysis that we conducted which allowed the cartographic representation using different methods. A caveat is in order: none of the data visualisation methods we employed are completely accurate. Be that as it may, these methods can reveal insights that traditional statistical methods cannot.

Geospatial analysis in this section refers to building data visualizations (graphs, maps, statistics etc.) and applying various techniques and algorithms in order to study and understand the spatial distribution and structure of phenomena as well as to detect potential trends and relationships between phenomena and places. Visual patterns are easier to recognize when spatial data are properly mapped.

For the spatial distribution study 4 different cartographic approaches were adapted:

  • Proportional symbols the size of which is relative to the magnitude of each feature attribute
  • Thiessen polygons
  • A spatial grid of hexagons (25 km2 each unit)
  • A spatial grid of rectangles (25 km x 25 km each unit)

For the detection of trends and spatial relationships 3 algorithms were implemented:

  • Spatial autocorrelation using Moran’s I statistic
  • Hot spot analysis using Getis-Ord Gi* statistic
  • Kernel density

Thiessen or Voronoi polygons are irregular polygons created by a set of point features, contain only a single point of the set and any location within the polygon is closer to the contained point than any other point of the set.

A dataset of Thiessen polygons was generated from the locations of all settlements matched with geographic locations for each survey 1572, 1832/33, 1931, followed by their corresponding attributes. These datasets were used for Cluster and Outlier Analysis (Local Moran's I) and Hot Spot Analysis (Getis-Ord Gi*) to identify statistically significant hot spots, cold spots, spatial clusters and outliers.

Autocorrelation is a measure of similarity between nearby observations. It is based, as other spatial statistic measures, on Waldo Tobler’s first law of geography 'everything is related to everything else, but near things are more related than distant things.' Practically Tobler states that spatial units in a given set, tend to share more similarities and stronger relations with nearby units, considered as their neighborhood, than with non neighboring units that are far apart.

It is clear that the most important factor with the highest impact on the calculations of spatial statistics like Moran's I and Getis-Ord Gi* is to specify how spatial relations among spatial units are defined. The most common way to define a neighborhood is taking into account the contiguity criterion considering regions with contiguous boundaries to be listed as neighbors. Among other ways to define neighborhood is specifying a distance threshold around spatial units and K nearest neighbors. For the calculations of Moran's I and Getis-Ord Gi* statistics we considered that a single shared boundary point meets the contiguity condition.

Moran's I is one of the oldest and most commonly used statistics that examines spatial autocorrelation. It was proposed by Moran in the late 1940s and was named after him. However the formula now used to calculate the I was suggested by Cliff and Ord in their work in 1973 and 1981. It is used to examine the correlation of the values of a single variable in geographic space by cause of their proximity and to detect spatial clusters as well as spatial outliers. Calculated statistic is classified using Local Indicators οf Spatial Association (LISA clusters) according to the following legend:

High-high and low-low clusters are areas with high or low value surrounded by areas with high or low value accordingly, indicating a statistically significant cluster of high or low values. High-low and low-high outliers are areas with high or low value surrounded by areas of low or high values accordingly, indicating statistically significant outliers.

Getis-Ord Gi* (pronounced Gi-i-star) proposed by Getis and Ord in the mid 1990s is used to carry out hot spot analysis and identify tendency for negative and positive spatial clustering. Hot spots indicate significant clustering of high values while cold spots indicate significant clustering of low values. Areas in statistical significant hot spots have high values and are surrounded by other areas with high values.

Clustering is classified according to the following legend:

Kernel density computes the estimation of the intensity of a spatial phenomena in space. Computations were carried out on a spatial grid of 1000 x 1000 meters across the island, setting a distance threshold of 2500 meters inside of which another value can affect calculations and assuming an isotropic Gaussian kernel.

The above mentioned methods were studied more extensively by examining various settings of critical parameters and different types of visualizations.

Additionally for a more comprehensive study,not presented here, data from all three surveys 1572, 1832/33 and 1931 were spatially aggregated to the following regions as well as in those generated by spatial intersections of combinations of two sets from the following list:

  • Administrative boundaries
  • Bioclimatic regions
  • Major Geographic regions
  • Height zones
  • Major drainage basins
  • Geological formations
  • Soil types according to the classification of the soil map of 1970
Geography Department of Harokopio University and Sylvia Ioannou Foundation (2021).. Economy, environment and landscape in the Cypriot longue durée: The 1832/33 Ottoman Property Survey of Cyprus. Thematic maps. Retrieved from: https://cyprus1833.hua.gr/en/thematicmaps/ on 24/07/2024.
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