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Determining the area corrections affecting the map areas in GIS applications


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Introduction

Today, area data is a basic parameter derived from analyses required for a large number of decision-making processes. The area needs to be calculated correctly because the values obtained as a result of calculations have an effect on cost. The values obtained as a result of area calculation are used in many fields such as engineering applications, geodetic studies, cadastral studies, zoning and expropriation applications, land valuation activities, forestry, agriculture and taxation. In such activities, Geographic Information Systems (GIS) are frequently used to obtain information such as cost–benefit analysis. Users obtain the area data of a parcel from the land register, land measurements or by digitisation from a scaled map. In any case, the area value is calculated from two-dimensional maps, in other words, the plane geometry. Maps are produced based on reference surfaces such as three-dimensional ellipsoid or sphere closest to the geoid using projection or map methods. In order to calculate the exact area value of a parcel on the map, area corrections must be added to the area value calculated on the map (Kundu and Pradhan, 2003; Zhang et al., 2011).

Large-scale maps (1:1000–1:10,000) are used in the registration process of the parcels. Area corrections in small parcels are neglected by most GIS users, as they have a very low value. However, in parcel types with large area values (forested land, pasture area, farming area and public land), area corrections are quite high. In this context, the larger the area of a parcel, the higher is the correction in the calculated area value for the area. In GIS applications, area corrections that need to be added to large parcels are not taken into account by users. Therefore, the values calculated by using the parcel areas do not reflect the exact value. GIS experts assume that better data leads to better decisions. An analysis that determines the effects of data quality on the quality of decisions should always be preferred. In GIS applications that area information of the parcels are used, the effect of the scale (Frank, 2008; Hejmanowska and Woźniak, 2009; Sindhuber et al., 2004), the effect of the slope (Kundu and Pradhan, 2003; Zhang et al., 2011), and the effect of the projection (Yildirim and Kaya, 2008) have been investigated. However, factors such as reference surface and elevation of terrain have not been taken into consideration in such studies. In this study, the effect of the errors on the calculated area in GIS applications will be examined. In order to calculate the exact area value of a parcel, the area correction for that area is required. In this context, in order to calculate the area corrections, the area of the parcel on the reference surface should be determined.

Materials and Methods
Area Calculation on the Ellipsoid Reference Surface

Maps are designed and produced based on reference surfaces using projection and other mapping methodologies. Large-scale maps, which are generally used in GIS applications, were obtained by mapping methods from the ellipsoid reference surface. In order to calculate the area corrections for a parcel, the parcel area (f) must first be calculated on the map plane. Then, the area of this parcel (F) on the ellipsoid reference surface is calculated based on the length of the edges as geodetic line. Thus, the area correction (Ff) of the parcel is calculated. As the area of the parcel grows, the difference (Ff) exceeds negligible levels in accordance with the mapping conditions. Area calculation on ellipsoid is more difficult due to its geometric structure compared to the sphere and plane. This difficulty can be easily eliminated considering today's software techniques. The shape of a parcel on the ellipsoid reference surface may be as parcels bounded by certain latitude and meridians, or parcels of concave shapes. Area calculation methods of a concave parcel with corners defined by geographical coordinates on the ellipsoid reference surface are frequently used in the literature. There exist a lot of remarkable methods in the literature proposed by Kimerling (1984), Danielsen (1989), Gillissen (1993), Sjöberg (2007), Freire and Vasconcellos (2010), Karney (2011, 2013) and Tseng et al. (2015) for calculation of area of a polygon using ellipsoidal geographical coordinates. Lumban-Gaol et al. (2019) examined the scale correction affecting the area and detected the best projection system in Indonesia in this study. The area has been computed using 72 projection systems with different scales employing MATLAB program. The minimum area distortion on the 1:5000 scale maps is shown by equal-area conic Albers standard projection system for the calculated study area (0.018 m2). In addition, although Universal Transverse Mercator (UTM) projections have been used optimally for each map sheet so far, it has been determined that they are not sufficient to calculate the whole of Indonesia. Setiawan and Sediyono (2020) aim to have a line of sight for computation of the area of Indonesia depending on the limits of sub-district/village, district and regency/city in this study. In this paper, they have reported how to employ the circle method to detect the territory area of Indonesia depending on the limits of regency/city or district or village/sub-district from The Database of Global Administrative Areas (GADM database). The best outcomes gained are when the limit of the district is 1,965,443.51 km2, which is 2.53% more than the reference area. Berk and Ferlan (2018) investigated the methodological difficulties of correct area calculation in the cadastre. The artıcle compared the uncertain legal explanation of the parcel boundary and parcel area in relation to the technically well-defined geodetic parcel boundary and the geodetic parcel area on the reference ellipsoid. Different approximate methods for area determination which can be employed in the cadastre are investigated. A highly correct method for parcel area calculation has been suggested, depending on an equal-area projection.

Since the Kimerling method is a spherical solution, the borders are not the geodesic curve, but the great circle. In the Danielsen and Sjöberg solutions, the parcel borders are taken as a geodesic curve and the area below that curve is calculated as the ellipsoidal area. In the Gillissen method, the area is calculated depending on Albers equal area projection by dividing a part of great circle by secants. Since the methods proposed by Danielsen and Sjöberg are based on series expansion formula, its effect is decreased while the area is growing. The area is calculated by using a large elliptical arc in the Tseng method and spherical triangles of parcel in the Karney method. Finally, in the Freire and Vasconcellos method, the area is calculated based on points that form each edge of the parcel on the ellipsoid surface.

MATLAB R2015a software is used to analyse the methods, and ITRF96 datum GRS80 ellipsoid is used in the processes. The secant length is determined as 50 m in Gillissen and Freire & Vasconcellos methods. In addition, Vincenty method (Vincenty, 1975) is used to solve the geodetic basic problem on the ellipsoid reference surface. A number of factors should be taken into consideration when comparing the methods with each other. These factors are accuracy values, utilisation limit, special cases and processing speeds. The oblate ellipsoid area is used to examine the accuracy values and special conditions. This area can be calculated with Equation (1): Fellipsoid=2πa2(1+(1e2)earctanh(e)) {F_{{\rm{ellipsoid}}}} = 2\pi {a^2}\left({1 + {{\left({1 - {e^2}} \right)} \over e}{\rm{arctanh}}\left(e \right)} \right) where a and e are the large semi-axis and the first eccentricity, respectively. Two points (λP1 = 0°, φP1 = 0°, λP2 = 0° and φP2 = 90° E) with latitude and longitude values are selected on the ellipsoid reference surface. The polar triangle (P1, P2, PN) is produced by using these two points and the north celestial pole (PN). The polar triangle area is equal to one-eighth of the area value calculated using Equation (1) (Fe = 63, 758, 202, 714, 811.400m2). Thus, the methods are examined according to the accuracy values, the special cases of latitude and longitude and the processing speeds (Table 1).

Examination of methods

Methods Areas Fmethod [m2] Difference (Fmethod − Fe) [m2] Δλ = 0° Δ φ = 0° λ = (0°; 90°) φ = (0°; 90°) t
Danielsen 63,758,202,714,811.400 0.000 0.000
Freire - - - - 7.906
Gillissen - - - - 0.125
Karney 63,758,202,714,811.400 0.000 0.031
Kimerling 63,900,265,931,354.400 142,063,216,543.047 - - 0.000
Sjoberg 63,758,202,714,811.400 0.000 0.281
Tseng - - - - - 0.000

√ Means it can be processed for special cases and - means no work

t – processing speed [milliseconds]

As can be seen in Table 1, Danielsen, Karney and Sjöberg methods can calculate the ellipsoid reference surface area completely. On the other hand, the positions of the points in the pole triangle are pole and equator. Therefore, Freire, Gillissen and Tseng methods do not work. The Kimerling method does not give correct results, as it calculates the sphere surface using its ellipsoid geographical coordinates. Danielsen, Karney and Sjöberg methods give correct results for all special cases such as point positions at the equator or pole and the polygonal edge on latitude or longitude. In addition, the calculated area gives accuracy results for one-eighth of the ellipsoid area.

In this context, Danielsen, Karney and Sjöberg methods can be used, which are studied for area calculation with geographical coordinates in the ellipsoid. If one of these methods should be preferred, Karney method can be preferred. In the Danielsen method, as the polygon edge length increases, the area decreases sensitivity. In addition, the Sjöberg method is not preferred because it is longer than the Karney method in terms of processing time.

Karney Method

An auxiliary sphere in which the azimuth values are preserved is determined on the ellipsoidal reference surface (Figure 1). The ellipsoidal area is calculated using the Gauss–Bonnet theorem.

Figure 1

Auxiliary sphere

The F area in Figure 1 is calculated with the MATLAB code from Equations (2) and (3). Also, a, b, e and e′ are ellipsoid parameters. The solution of I1 integral in Equation (5) can be calculated using math computer software or the serial coefficients produced by Karney method. A0, A1 and A2 azimuths and the spherical geodesic line length are calculated by using spherical trigonometry in Equations (314): F=R2(A2A1)+(F(σ2)F(σ1)) F = {R^2}\left({{A_2} - {A_1}} \right) + \left({{F_{\left({{\sigma _2}} \right)}} - {F_{\left({{\sigma _1}} \right)}}} \right) R2=a22+b22tanh1ee {R^2} = {{{a^2}} \over 2} + {{{b^2}} \over 2}{{\tan \,{h^{- 1}}e} \over e} F(σi)=e2a2cosA0sinA0I1(σi)i=1,2 {F_{\left({{\sigma _i}} \right)}} = {e^2}{a^2}\cos \,{A_0}\sin \,{A_0}{I_1}\left({{\sigma _i}} \right)\,i = 1,2 I1(σi)=π/2σit(e2)t(k2sin2σi)e2k2sin2σisinσi2dσ {I_1}\left({{\sigma _i}} \right) = - \int_{\pi /2}^{{\sigma _i}} {{{t\left({e{'^2}} \right) - t\left({{k^2}\,{{\sin}^2}\,{\sigma _i}} \right)} \over {e{'^2} - {k^2}{{\sin}^2}\,{\sigma _i}}}{{\sin \,{\sigma _i}} \over 2}d\sigma} t(x)=x+x1+1sinh1x t\left(x \right) = x + \sqrt {{x^{- 1}} + 1} \sin \,{h^{- 1}}\sqrt x k2=e2cos2A0 {k^2} = e{'^2}{\cos ^2}\,{A_0} A1=ph(cosβ1sinβ2sinβ1cosβ2cosΔλ+icosβ2sinΔλ) {A_1} = ph\left({\cos \,{\beta _1}\sin \,{\beta _2} - \sin \,{\beta _1}\,\cos \,{\beta _2}\,\cos \,\Delta \lambda + i\,\cos \,{\beta _2}\,\sin \,\Delta \lambda} \right) A2=ph(sinβ1cosβ2+cosβ1sinβ2cosΔλ+icosβ1sinΔλ) {A_2} = ph\left({- \sin \,{\beta _1}\cos \,{\beta _2} + \cos \,{\beta _1}\,\sin \,{\beta _2}\,\cos \,\Delta \lambda + i\,\cos \,{\beta _1}\,\sin \,\Delta \lambda} \right) Δλ=(L2L1)/1e2(cosβ1+cosβ22)2 \Delta \lambda = \left({{L_2} - {L_1}} \right)/\sqrt {1 - {e^2}{{\left({{{\cos \,{\beta _1} + \cos \,{\beta _2}} \over 2}} \right)}^2}} A0=ph(cosA1+isinA1sinβ1+isinA1cosβ1) {A_0} = ph\left({\cos \,{A_1} + i\,\sin \,{A_1}\,\sin \,{\beta _1} + i\,\sin \,{A_1}\,\cos \,{\beta _1}} \right) σj=ph(cosAjcosβj+isinβj)j1,2 {\sigma _j} = ph\left({\cos \,{A_j}\,\cos \,{\beta _j} + i\,\sin \,{\beta _j}} \right)\,j - 1,2 |x+iy|=x2+y2 \left| {x + iy} \right| = \sqrt {{x^2} + {y^2}} ph(x+iy)=arctan(yx) ph\,\left({x + iy} \right) = \arctan \left({{y \over x}} \right)

Equal Area Projections

Maps can be produced using equal area projections to minimise area deformation, instead of Karney solution for area calculation on the ellipsoid reference surface. Large and medium-scaled topographic maps (1000–250,000) are produced using UTM or Lambert Conformal Conic (LCC) projection in the world. Area corrections (Ff) can be minimised with the selection of equal area projections. For calculating the area deformation, area correction formulas (Ff) calculated with the help of coordinates produced from the maps are presented to the users by using UTM and LCC systems. Area correction formulas (Ff) and area calculation on the ellipsoidal reference surface are not available in CAD and GIS applications. Therefore, instead of conformal projections, one of the projections that equal area projections should be selected for high accuracy calculation of a parcel area.

In this study, first, 15 forest parcels that varied between 300 and 3000 ha were selected within the boundaries of Kütahya Forest Regional Directorate (Figure 2). The area values of the 15 forest parcels selected in the study area were calculated with the equal area projections presented in Table 2 using GIS software. Thus, the most suitable equal area projection was determined by calculating the area deformations of the all projections (ITRF96 datum, 3° of longitude in width).

Figure 2

Satellite imagery of forest parcels (left) and geographical boundaries of the Kütahya Regional Directorate of forestry and forestry operation directorates in ITRF96 datum (right)

Projections and parameters used in the study

Map projections L0 Central longitude B0 Central latitude B1 Standard parallel B2 Standard parallel
UTM (3° of longitude in width) 30°E 0° (Equator) - -
AEAC 30°E 30.05°N 34.45°N 34.85°N
EAC 30°E 30.05°N - -
BEAC 30°E 0° (Equator) - -
BEA 30°E 0° (Equator) - -
LAEA 30°E 30.05°N - -
SEA 30°E 0° (Equator) - -

AEAC – Albers Equal Area Conic, BEA – Bonne Equal Area, BEAC – Behrmann Equal Area Cylindrical, EAC – Equal Area Cylindrical, LAEA – Lambert Azimuthal Equal Area, SEA – Sinusoidal Equal Area, UTM – Universal Transverse Mercator

Areas of forest parcels were calculated by using the projections given in Table 2. At the same time, the areas of these forest parcels were calculated by the Karney method. The areas of the forest parcel calculated by the projections (Table 2) were compared with the areas calculated by the Karney method (Table 3). The distortion values are randomly distributed depending on the shape and size of the parcel and the distance of the parcel from the projection centre.

Area distortions of equal area projections

Parcel number Area calculation [m2]

Conformal map projection Ellipsoid geographical coordinates Area distortion (Karney-equal area map projections)

UTM (3°) (Karney method) AEAC EAC BEAC BEA LAEA SEA
P1 28,570,421.774 28,570,400.287 9.440 90.265 90.247 1.854 5.603 6.880
P2 24,240,491.726 24,240,477.498 48.789 495.779 496.021 37.717 42.016 177.158
P3 19,454,360.215 19,454,337.971 6.217 64.581 64.516 7.223 6.395 32.869
P4 18,201,997.722 18,201,879.790 13.816 135.762 135.712 25.911 18.612 114.817
P5 16,730,817.085 16,730,812.149 3.664 32.262 32.260 4.938 4.220 20.196
P6 15,951,105.646 15,951,099.137 17.226 156.574 156.824 15.139 15.271 66.613
P7 14,809,228.918 14,808,973.667 4.482 44.089 44.112 5.986 5.158 27.267
P8 12,920,294.789 12,920,293.910 23.631 249.194 248.966 37.360 29.865 174.311
P9 11,067,018.225 11,066,945.786 6.986 58.247 58.261 4.470 5.488 16.470
P10 10,550,351.283 10,550,250.549 1.113 18.177 18.236 7.909 4.080 39.129
P11 9,498,509.712 9,498,505.310 28.252 294.518 294.698 28.161 27.681 133.011
P12 7,246,694.410 7,246,670.634 0.035 5.766 5.679 0.175 0.103 3.432
P13 6,575,866.610 6,575,812.176 9.264 93.417 93.364 6.931 7.786 32.686
P14 5,774,651.499 5,774,533.261 14.287 136.143 136.038 16.496 14.751 72.715
P15 3,673,397.840 3,673,391.983 1.317 13.831 13.764 0.586 0.922 3.230
Σ 188.519 1888.605 1888.698 200.856 187.951 920.784

AEAC – Albers Equal Area Conic, BEA – Bonne Equal Area, BEAC – Behrmann Equal Area Cylindrical, EAC – Equal Area Cylindrical, LAEA – Lambert Azimuthal Equal Area, SEA – Sinusoidal Equal Area, UTM – Universal Transverse Mercator

In Table 3, area corrections are calculated for the all equal area projections. According to Table 3 and Figure 3, two types of projections (Albers Equal Area Conic [AEAC] and Lambert Azimuthal Equal Area [LAEA]) with the least area corrections were determined. One of these projections can be preferred. AEAC projection was selected in this study in terms of the ease of calculation and processing time.

Figure 3

Comparison of the area distortion for equal area projections

The area distortions have been also examined by employing Karney method in UTM. Thus, it is investigated whether the area reduction formula (Ff) is sufficient in the UTM system. The area on the ellipsoidal reference surface can be calculated by adding the reduction formula (Ff) to the area calculated from the map. Area distortion formulas (Ff) are defined from the surface of the sphere and the non-concave shape in UTM. In conformal transformation, the deformation value is directly related to the size of the area and its distance to the y-axis (Grossmann, 1976): Ff=fR2ym2 F - f = - {f \over {{R^2}}}y_m^2 where F, f, R, ym represent the area on the ellipsoid reference surface, the area calculated from the map, the Gaussian mean radius and the average distance from the y-axis (prime meridian) of the parcel, respectively. Area reduction value (Ff) of application parcels in UTM was calculated using Equation (15) (ym = 13 km, R = 6370 km). Area reduction values (F – f) of the parcels are given in Table 4.

Comparison of UTM, area reduction (Ff), Karney method and AEAC projection

Parcel number Area calculation [m2] Area distortion [m2]


Conform map projection Ellipsoid geographical coordinates Equal area projection Area reduction formula Equal area projection Conform map projection

UTM [3°] (fconformal) (F – f) (4) formula F (Karney) AEAC (fequal_area) Karney– [f–(F – f)] Karney–AEAC Karney–UTM
P1 28,570,421.774 118.994 28,570,400.287 28,570,390.847 140.481 9.440 21.487
P2 24,240,491.726 100.960 24,240,477.498 24,240,428.709 86.732 48.789 14.228
P3 19,454,360.215 81.026 19,454,337.971 19,454,331.754 58.782 6.217 22.244
P4 18,201,997.722 75.810 18,201,879.790 18,201,893.606 42.122 13.816 117.932
P5 16,730,817.085 69.683 16,730,812.149 16,730,815.813 64.747 3.664 4.936
P6 15,951,105.646 66.435 15,951,099.137 15,951,081.911 59.926 17.226 6.509
P7 14,809,228.918 61.679 14,808,973.667 14,808,969.185 193.572 4.482 255.251
P8 12,920,294.789 53.812 12,920,293.910 12,920,317.541 52.933 23.631 0.879
P9 11,067,018.225 46.093 11,066,945.786 11,066,952.772 26.346 6.986 72.439
P10 10,550,351.283 43.941 10,550,250.549 10,550,251.662 56.793 1.113 100.734
P11 9,498,509.712 39.561 9,498,505.310 9,498,533.562 35.159 28.252 4.402
P12 7,246,694.410 30.182 7,246,670.634 7,246,670.599 6.406 0.035 23.776
P13 6,575,866.610 27.388 6,575,812.176 6,575,802.912 27.046 9.264 54.434
P14 5,774,651.499 24.051 5,774,533.261 5,774,547.548 94.187 14.287 118.238
P15 3,673,397.840 15.299 3,673,391.983 3,673,390.666 9.442 1.317 5.857

AEAC – Albers Equal Area Conic, UTM – Universal Transverse Mercator

The area reduction values calculated from Equation (4) in UTM were compared with the results obtained from the Karney method. In the light of the results, it has been observed that the results obtained from the Karney method are more reliable (Figure 4).

Figure 4

Comparison of UTM and Karney method

Therefore, in order to determine the area distortion in large areas, it is necessary to calculate the area with geographical coordinates on the ellipsoid reference surface or to transform to equal area projections.

The area difference that was calculated by using the Karney method and AEAC projection varies from 1 to 50 m2. When comparing the parcel areas on the reference surface calculated using Equation (15) in UTM and AEAC projection, it has been found that there are differences from approximately 10 to 200 m2 for each parcel (Figure 4).

If AEAC projection was chosen instead of UTM, a total of 800 m2 distortion was observed in the total of all area distortion values in the parcels.

Area Corrections Caused by Map Scale

One of the important criteria in the area calculation is how the corner coordinates of the parcel are produced. In this context, the scale of the map where the corner coordinates of a parcel are produced is directly related to the area calculation of the parcel. Area calculations of the parcels, which cannot be measured in the terrain, are calculated on the scaled map. For this, the corner coordinates of the parcel are produced on a scaled map by digitisation technique. In this context, the larger the scale of the map produced in coordinate data, the higher the sensitivity values of the data produced on the map.

The area calculation performed using the parcel corner coordinates produced from the scaled map is formulated below: 2f=i=1nxi(yi+1yi1) 2f = \sum\limits_{i = 1}^n {{x_i}\left({{y_{i + 1}} - {y_{i - 1}}} \right)} 2f=i=1nyi(xi+1xi1) 2f = \sum\limits_{i = 1}^n {{y_i}\left({{x_{i + 1}} - {x_{i - 1}}} \right)} where n, f and (x,y) denote the total number of corners of the parcel, the area of the parcel on the map and the corner coordinates of the parcel. The parcel area is calculated using Equations (16) and (17). Then the root mean square error (RMSE) of the parcel area is calculated using following equations: MF=mp22i=1nSi+1,i12 {M_F} = {{{m_p}} \over {2\sqrt 2}}\sqrt {\sum\limits_{i = 1}^n {S_{i + 1,\,i - 1}^2}} Si+1,i12=(xi+1xi1)2+(yi1yi+1)2 S_{i + 1,i - 1}^2 = {\left({{x_{i + 1}} - {x_{i - 1}}} \right)^2} + {\left({{y_{i - 1}} - {y_{i + 1}}} \right)^2} fscale=f±MF {f_{{\rm{scale}}}} = f \pm {M_F} where mp and S represent the RMSE of the corner points and the square of the diagonal lengths of the parcel (Bogaert et al., 2005; Navratil and Feucht, 2008; Hejmanowska and Woźniak, 2009). Equations (1820) are not available in GIS software. But users can add Equations (1820) to the program with the help of the interface.

It is seen in Table 5 that as the scale of the map gets smaller and the area gets bigger, the value of the area correction due to the scale increases as a result of digitisation technique. For example, an area of 2500 ha, which is calculated using the corner coordinates produced from a 25,000-scale map, has been calculated as an area of 2.5 ha. When the parcels with large areas (forests, pastures, etc.) are taken into consideration, it is clearly seen that the area differences resulting from the use of medium-sized maps have high values. The areas calculated from the data obtained from the scaled maps using the digitisation technique are given in Table 5.

The effect of scale-related accuracy of measurement on the area (for regular polygon parcels)

Scale of the map 1000 2000 5000 10,000 25,000 50,000 100,000 250,000
mp = mx = my [m] 0.2 0.4 1 2 5 10 20 50

S2[ha] Edge [m] Area Root mean square error of the MF area depending on the scale [m2]
0.08 10 100 m2 2 4 10 20 50 100 200 500
8 100 1 ha 20 40 100 200 500 1000 2000 5000
32 200 4 ha 40 80 200 400 1000 2000 4000 10,000
200 500 25 ha 100 200 500 1000 2500 5000 10,000 25,000
450 750 55 ha 150 300 750 1500 3750 7500 15,000 37,500
800 1000 100 ha 200 400 1000 2000 5000 10,000 20,000 50,000
3200 2000 400 ha 400 800 2000 4000 10,000 20,000 40,000 100,000
20,000 5000 2500 ha 1000 2000 5000 10,000 25,000 50,000 100,000 250,000
80,000 10,000 100 km2 2000 4000 10,000 20,000 50,000 100,000 200,000 500,000
180,000 15,000 225 km2 3000 6000 15,000 30,000 75,000 150,000 300,000 750,000
320,000 20,000 400 km2 4000 8000 20,000 40,000 100,000 200,000 400,000 1,000,000
720,000 30,000 900 km2 6000 12,000 30,000 60,000 150,000 300,000 600,000 1,500,000

On the other hand, smooth square parcels are used for the application in Table 5. When using 15 forest parcels selected within the study area instead of these parcels, the results obtained are shown in Table 6.

The effect of scale-related accuracy of measurement on the area (forest parcels) in AEAC projection

Scale of the map 1000 2000 5000 10,000 25,000 50,000 100,000 250,000
mp = mx = my [m] 0.2 0.4 1 2 5 10 20 50

ΣS2[m2] Parcels Root mean square error of the area depending on the scale [m2]
33,022,713.72 P1 812.683 1625.367 4063.417 8126.834 20,317.084 40,634.169 81,268.338 203,170.845
43,907,616.54 P2 937.098 1874.196 4685.489 9370.978 23,427.446 46,854.891 93,709.782 234,274.456
25,256,098.93 P3 710.719 1421.439 3553.597 7107.193 17,767.983 35,535.967 71,071.934 177,679.835
49,422,346.14 P4 994.207 1988.413 4971.033 9942.067 24,855.167 49,710.334 99,420.668 248,551.670
30,571,936.51 P5 781.945 1563.891 3909.727 7819.455 19,548.637 39,097.274 78,194.548 195,486.369
37,908,657.94 P6 870.731 1741.463 4353.657 8707.314 21,768.285 43,536.570 87,073.139 217,682.848
42,306,252.37 P7 919.851 1839.701 4599.253 9198.506 22,996.264 45,992.528 91,985.056 229,962.639
50,596,221.46 P8 1005.945 2011.889 5029.723 10,059.445 25,148.614 50,297.227 100,594.455 251,486.136
15,412,135.51 P9 555.196 1110.392 2775.981 5551.961 13,879.903 27,759.805 55,519.610 138,799.025
34,040,110.57 P10 825.107 1650.215 4125.537 8251.074 20,627.685 41,255.370 82,510.739 206,276.848
36,106,507.87 P11 849.782 1699.565 4248.912 8497.824 21,244.560 42,489.121 84,978.242 212,445.604
10,698,760 P12 462.575 925.149 2312.873 4625.745 11,564.363 23,128.727 46,257.453 115,643.634
16,397,451.31 P13 572.668 1145.337 2863.342 5726.683 14,316.708 28,633.417 57,266.834 143,167.085
25,863,964.9 P14 719.221 1438.443 3596.107 7192.213 17,980.533 35,961.066 71,922.131 179,805.328
47,247,724.79 P15 972.088 1944.175 4860.438 9720.877 24,302.192 48,604.385 97,208.770 243,021.925

AEAC – Albers Equal Area Conic

When these forest parcels are examined, it is seen that the effect of digitisation technique used in scaled maps increases as the scale of the maps gets smaller. Therefore, large-scale map must be used for the area calculation with the digitisation technique in the parcels with large areas (Figure 5).

Figure 5

The effect of digitisation technique on the area in the scale map

Area Corrections Caused by Elevation and Slope Factors

Today, area calculations are made on the surface of the ellipsoid or projection plane with a conform transformation from the ellipsoid. The ellipsoid selected is the reference ellipsoid determined in the geodetic datum. GRS80 is used in ITRF datum and Hayford ellipsoid in ED50 datum. The ellipsoid selected as reference is determined by the geoid. Ellipsoidal height (h) is measured in Global Navigation Satellite System (GNSS) measurements. The height type shown on the maps is the geoidal height. The transformation between these two types of heights is enabled by geoid undulation (N). The effect of the height factor in the calculation of a parcel area is determined using Equation (21): Fh=F+F(1+2havgR) {F_h} = F + F\left({1 + {{2{h_{{\rm{avg}}}}} \over R}} \right) where Fh, F, havg denote the area of the parcel with a height from the ellipsoid, the area of the parcel on the surface of the ellipsoid and the average of the heights of the parcel corner points, respectively (Koçak, 1985). The slope factor is not taken into account in this calculation. Area correction of sample parcels with different heights and area values are shown in Table 7.

The effect of ellipsoidal height on area (for regular polygon parcels)

Area values Average ellipsoidal height of the parcel [m]

100 250 500 1000 1500 2000 2500 3000

Area corrections [m2]
100 m2 0.003 0.008 0.016 0.031 0.047 0.063 0.078 0.094
1 ha 0.314 0.785 1.570 3.140 4.710 6.279 7.849 9.419
4 ha 1.256 3.140 6.279 12.559 18.838 25.118 31.397 37.677
52 ha 7.849 19.623 39.246 78.493 117.739 156.986 196.232 235.479
55 ha 17.268 43.171 86.342 172.684 259.027 345.369 431.711 518.053
100 ha 31.397 78.493 156.986 313.972 470.958 627.943 784.929 941.915
400 ha 125.589 313.972 627.943 1255.887 1883.830 2511.774 3139.717 3767.661
2500 ha 784.929 1962.323 3924.647 7849.294 11,773.940 15,698.587 19,623.234 23,547.881
100 km2 3139.717 7849.294 15,698.587 31,397.174 47,095.761 62,794.349 78,492.936 94,191.523
225 km2 7064.364 17,660.911 35,321.821 70,643.642 105,965.463 141,287.284 176,609.105 211,930.926
400 km2 12,558.870 31,397.174 62,794.349 125,588.697 188,383.046 251,177.394 313,971.743 376,766.091
900 km2 28,257.457 70,643.642 141,287.284 282,574.568 423,861.852 565,149.137 706,436.421 847,723.705

As seen in Table 7 and Figure 6, area deformations increase as the area and height values increase. When using 15 forest parcels selected within the study area instead of these parcels (for regular polygon parcels), the results obtained are shown in Table 8.

Figure 6

The effect of ellipsoidal height on area (graphical display)

The effect of ellipsoidal height on area (for forest parcels)

Forest parcels Area [m2] Average ellipsoidal height of the parcels [m]

100 250 500 1000 1500 2000 2500 3000
Area corrections [m2]
P1 28,570,391 897.030 2242.574 4485.148 8970.295 13,455.443 17,940.591 22,425.738 26,910.886
P2 24,240,429 761.081 1902.702 3805.405 7610.810 11,416.214 15,221.619 19,027.024 22,832.429
P3 19,454,332 610.811 1527.028 3054.055 6108.110 9162.166 12,216.221 15,270.276 18,324.331
P4 18,201,894 571.488 1428.720 2857.440 5714.880 8572.320 11,429.761 14,287.201 17,144.641
P5 16,730,816 525.300 1313.251 2626.502 5253.003 7879.505 10,506.007 13,132.508 15,759.010
P6 15,951,082 500.819 1252.047 2504.094 5008.189 7512.283 10,016.378 12,520.472 15,024.567
P7 14,808,969 464.960 1162.399 2324.799 4649.598 6974.397 9299.196 11,623.995 13,948.794
P8 12,920,318 405.661 1014.154 2028.307 4056.615 6084.922 8113.229 10,141.537 12,169.844
P9 11,066,953 347.471 868.678 1737.355 3474.710 5212.066 6949.421 8686.776 10,424.131
P10 10,550,252 331.248 828.120 1656.240 3312.481 4968.721 6624.962 8281.202 9937.443
P11 9,498,533.6 298.227 745.568 1491.136 2982.271 4473.407 5964.542 7455.678 8946.813
P12 7,246,670.6 227.525 568.812 1137.625 2275.250 3412.875 4550.500 5688.124 6825.749
P13 6,575,802.9 206.462 516.154 1032.308 2064.616 3096.924 4129.233 5161.541 6193.849
P14 5,774,547.5 181.304 453.261 906.522 1813.045 2719.567 3626.090 4532.612 5439.134
P15 3,673,390.7 115.334 288.335 576.670 1153.341 1730.011 2306.682 2883.352 3460.023

In the light of the results obtained in Table 8, it is observed that the area correction values increase as the average ellipsoidal height values of the parcels increase. Equation (18) that is formulated above is not available in GIS software. In applications that require high precision, GIS users should consider the height factor when using large areas of parcels.

In the calculation of the parcel areas, besides the height factor of the terrain, the slope of the terrain is an important factor to be taken into consideration. The effect of the slope factor on the area of the parcel with a certain height from the ellipsoidal reference surface is presented in Equation 22: Fs=Fh+Fh1+(tana)2 {F_s} = {F_h} + {F_h}\sqrt {1 + {{\left({\tan \,a} \right)}^2}} where Fh, F, tan a denote the area of the parcel with a height from the ellipsoid, the area of the parcel on the surface of the ellipsoid and the average slope of terrain, respectively. The changes caused by the effect of the slope factor on the area of the parcel are presented in Figure 7.

Figure 7

The effect of slope factor on the parcel area

Area values calculated using scaled maps are not exact area values. In order to compute the exact area value of a parcel, different types of area corrections must be added to the area calculated from the scaled map. The impact of these area corrections on the area calculated on the scaled map is shown in Tables 5 and 6 as a percentage.

As seen in Table 9, area corrections calculated based on projection and scale factors have negative values and area corrections calculated based on other factors have positive values. The biggest correction to be added to the parcel area is the area correction caused by the slope factor.

Rate of total area corrections

Area corrections Formulas Test range −/+ Rate of correction (%)
Area in the map (UTM, 3°) fconformal 100m2900km2forregularpolygonparcels100m2900km2forforestparcels {{100\,{{\rm{m}}^2} - 900\,{\rm{k}}{{\rm{m}}^2}\,{\rm{for}}\,{\rm{regular}}\,{\rm{polygon}}\,{\rm{parcels}}} \over {100\,{{\rm{m}}^2} - 900\,{\rm{k}}{{\rm{m}}^2}\,{\rm{for}}\,{\rm{forest}}\,{\rm{parcels}}}}
Area in AEAC projection fequal area - 0.0001%–0.0020%
Scale of the map fscale 1:1000–1:250,000 - 0.0077%–1.9292%
Area (Karney method) in ellipsoid F ≈ fequal area
Ellipsoid height Fh 100–3000 m + 0.0031%–0.0942%
Slope of terrain Fs 5%–70% + 0.1249%–22.0656%

AEAC – Albers Equal Area Conic, UTM – Universal Transverse Mercator

Results and Discussion

In this study, the area corrections and their sizes to be added to the area value calculated from the scale map in GIS applications are examined.

There are many factors that affect the value of an area. These are selection of map projection, the scale of the map, the ellipsoidal height and the slope of the terrain. GIS users often neglect these area corrections in GIS applications or cannot predict whether area correction values are within the accuracy limits. In addition, since the services provided by users of GIS-based software are limited, such software is insufficient in calculating the area correction values.

In this study, GIS users are presented with the area calculation method (Karney method) on the ellipsoid surface that is not available in GIS software. In addition, it was observed that the GIS software was insufficient in the area correction calculation of the parcels with large area values in the UTM system. In addition, the issue of which of the equal area projection types will be used in GIS applications where the area value is important has been examined with the help of the GIS software. At the end of the test, AEAC projection type has been proposed.

Area information of a parcel is calculated using different methods. One of these methods is the area calculation using the digitised technique from the scale map. When using this technique, it is absolutely necessary to calculate the area correction based on scale. In this study, the area corrections to be added to the areas of large forest parcels according to the size of the map scale (1:1000–1:250,000) were calculated and served to the users.

Slope and elevation parameters are other corrections that affect the parcel area calculated from the scaled map. In this context, area corrections to be added to large forest parcels were calculated from the elevation (100–3000 m) and slope (5%–70%) parameters according to the selected value ranges.

The percentages of the change in all the area corrections are shown in Table 9 according to the parcel areas. In GIS applications where a parcel's area information is used, the required precision and accuracy values are an important point. In this context, it is necessary to produce data according to the request and needs of the user. For this reason, in the applications where the area information is important, the area corrections to be added to the area due to different parameters should be taken into consideration.

Selection of projection and slope of the terrain parameters are available for users in GIS software. However, due to the map scale and the height of the terrain, area corrections to be added to the parcel area are not available in GIS software. In this study, these area corrections obtained by using Equations (1821) can be added to GIS software by users.

Today, there are many parcel area-based applications such as real estate valuation, land tax, farming support and cost–benefit analysis in GIS applications. In this context, it is necessary to calculate the area of the parcel precisely in order for such applications to give correct results. Therefore, in order to obtain the correct result in determining the exact area calculation of the parcel, it is necessary to take into account the selection of projection, scale of the map, elevation of the map and slope of the terrain factors.

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